Hello, I'm

Goutham Soratoor

Tech Developer Frontend Engineer Film Editor Barclays '26

MSc Computer Science student with 4 years of experience in broadcast delivery operations, video pipeline engineering, and production automation. Delivered content across DCI theatrical (SMPTE 429-2, Qube Cinema), OTT (Amazon Prime, SunNXT), and broadcast television (Zee Kannada) from a single graded master, diagnosing and resolving 20+ timecoded QC failures at frame level. Cloud encoding pipelines on AWS. Joining Barclays as a Technology Developer Intern.

Goutham Soratoor
01 · Arsenal
Technical Skills · Languages · Frameworks · Systems · Design
G_Skills
M README.md ×
dev_V0.1 README.md ## Technical Skills ## Current Focus
(@venv)  user@system:~/portfolio  $  type here % 
npm run dev
⎇ Launchpad
✕ 0 ⚠ 0
Languages
PythonTypeScriptJavaScriptC++JavaEmbedded CRustC#SwiftPostgreSQLBash / Shell
Frameworks
React 18FlaskRedux ToolkitTanStack QueryNode.jsExpress.jsWebSockethls.jsTailwind CSSFastAPI
Cloud & Infrastructure
CI/CDGitHub ActionsDockerAWS LambdaS3CDKDynamoDBBedrockServerlessNginx
ML & Data
Scikit-learnTensorFlowKerasPandasNumPyMatplotlibVAEKNN
Data Engineering
ClickHouseDuckDBParquetPyArrowETL PipelinesStar SchemaTable PartitioningWindow Functions
Streaming & Video
HLSAdaptive BitrateFFmpegBroadcast QCLUFSIRENOC DashboardsRTMPSCTE-35Nginx-RTMP
Media Engineering
ProResDNxHDJPEG2000H.264/H.265MXFDPXDCI/SMPTERec.709OTT Delivery
Design & AI
FigmaD3.jsFramer MotionWCAG 2.1 AAAClaudeCopilot
02 · Engineering
Tech Projects · GitHub Repositories · Live Code · Open Source
In Dev
AI VIDEO
EDITOR
ELECTRON · AI/ML · FFMPEG
AI Video Editor
Electron · Python · AI/ML · FFmpeg
Frame-precise editing. AI-driven workflow. The tool only a filmmaker-engineer would build.
2025 →
02b · Data Engineering
Data Pipelines · ClickHouse · PostgreSQL · ETL · ML · Analytics
03 · Cinema
Feature Films · Amazon Prime · Rishab Shetty Films · Oscar Accredited · Festival Selections · 14 Awards
04 · Commercial
Commercial Projects · Capgemini · Brigade · BIAL · Fishwire · Corporate · Architectural · Broadcast
05 · Career Arc
Professional Timeline
MSc Computer Science (Artificial Intelligence) with Placement Year
| Sept 2025 – Sept 2027
University of Kent · Canterbury, UK
  • Specialising in Machine Learning, Deep Learning, NLP, and Software Engineering, emphasis on building production-ready AI systems with enterprise constraints
  • Engineering portfolio built around real-world constraints:
    • Banking Core Infrastructure, Architected a 1500+ line Flask REST API with enterprise security controls and secrets management. Multi-container Docker orchestration (Nginx reverse proxy + Flask app server + PostgreSQL). Kubernetes-style health monitoring. Reduced deployment cycles from 2 hours to under 5 minutes. Improved system reliability by 90%.
    • WeatherMate, Reduced redundant API calls by 50% via TanStack Query caching strategy with stale-while-revalidate patterns. Type-safe TypeScript architecture with React 18. Mobile-first responsive UX with full keyboard navigation and screen-reader support. 99/100 Lighthouse, full WCAG 2.1 AAA compliance.
    • Banking Dashboard, WCAG 2.1 AAA compliant React 18 dashboard accessible to 100% of users. Optimised high-frequency data rendering via Redux Toolkit memoised selectors and code splitting. 99+ Lighthouse with production-grade state management to Barclays UI standards.
  • Cloud and streaming infrastructure projects:
    • AI Document Processor, serverless pipeline on AWS (Lambda, S3, CDK, DynamoDB, Bedrock). S3 event-driven architecture with presigned URLs and AI summarization. Same architectural pattern applied to video encoding.
    • HLS Video Packager, adaptive bitrate packaging from scratch. FFmpeg-based transcoding to 3 ABR variants (720p/480p/360p) with keyframe-aligned segmentation and master manifest generation.
    • Broadcast QC Scanner, automated video quality control tool. Black level (IRE), audio loudness (LUFS), 5.1 channel mapping, subtitle safe area checks. Built from real Zee Kannada TC rejection experience.
    • AWS Video Transcoder, serverless video encoding pipeline. S3 event-driven Lambda with FFmpeg, multi-format output (HLS + MP4 + thumbnail), DynamoDB job tracking, React frontend.
    • Stream Health Monitor, NOC-style live HLS monitoring dashboard. WebSocket-powered real-time metrics (bitrate, buffer, latency, errors) with fault injection for testing.
  • Term 2 AI/ML coursework:
    • Airline Satisfaction Predictor (COMP7019), supervised ML classification on 129K passenger survey records. Systematic KNN vs Naive Bayes evaluation with stratified cross-validation. 82% accuracy, F1 score 0.8239
    • Variational Autoencoder (COMP7017), generative deep learning with TensorFlow/Keras. Encoder-decoder with reparameterization trick, dual-objective loss. Trained on MNIST, 2D latent space visualization, digit generation. Group project with Kritarth Devli
  • Active member of Kent AI Society, collaborating on AI adoption and technical innovation within the university ecosystem
ML / Deep LearningNLPPythonTensorFlow · KerasScikit-learnTypeScript · ReactDocker · CI/CDAWS Lambda · S3 · CDKHLS · StreamingBroadcast QCVAE · Generative AI
External Invigilator & Workshop Lead
| 2024 – 2025
RV College of Engineering · St. Joseph's University · Bangalore
  • External Invigilator at RV College of Engineering, audited Master's in Filmmaking students on Film Editing proficiency. Assessed technical competency in NLE operation, editorial decision-making, and professional workflow standards (2025)
  • Workshop Lead at St. Joseph's University, conducted advanced editing workshops for undergraduates. Covered Avid keyboard architecture design, XML macro scripting for workflow automation, and professional editorial pipeline design. Upskilled 100+ students (2025)
  • External Invigilator at St. Joseph's University, appointed for Script Writing examinations. Evaluated narrative structure, dialogue craft, and format adherence at undergraduate level (2024)
External InvigilatorPostgraduate Level100+ StudentsWorkshop Lead
Post-Production Lead & Media Infrastructure Engineer
| 2021 – 2025
Rishab Shetty Films · Masari Talkies · Capgemini · BIAL · Snaptrude · Bangalore
  • HOD sign-off authority on pre-premiere screenings for 3 feature films (Photo, Laughing Buddha, Shivamma). Approved Qube Cinema DCI Gold Master film prints for South India theatrical chain distribution.
  • Multi-platform delivery lead: Delivered content across DCI theatrical (SMPTE 429-2, Qube Cinema), OTT streaming (Amazon Prime Video, SunNXT), and broadcast television (Zee Kannada). Triple-format delivery from single graded master.
  • Broadcast QC remediation: Received and resolved Zee Kannada Technical Check rejection report for Shivamma with 20+ timecoded flags: video noise, black level violations, subtitle safe area, 5.1 channel mapping errors, A/V sync. Diagnosed and fixed at frame/timecode precision.
Feature Film, Cinema Mastering & Pipeline Engineering
Photo (Amazon Prime Video)
  • Problem: Feature film production at 4K scale generating 28TB of production media with 20TB of output data across all deliverable formats, theatrical DCI packages, OTT masters, VFX pipeline renders, and project files. Zero tolerance for data corruption across either side of the pipeline. Multiple departments (DIT, camera, direction, VFX) running in parallel with no centralised asset management system.
  • Approach: Led the entire media infrastructure pipeline end-to-end. Engineered data integrity monitoring with MD5 checksum verification at every transfer boundary: ingest, editorial, VFX handoff, and final output. Built redundancy architecture (primary RAID, rsync-automated mirror clone, offline cold storage with weekly rotation). Managed multi-format encoding pipeline: DPX for VFX, DNxHD proxies for editorial, ProRes for colour grading, JPEG2000 for theatrical encoding, H.264 for dailies review. Coordinated parallel departmental operations.
  • Delivery: Exported SMPTE DCI Gold Master (JPEG2000 encoded, SMPTE 429-2 compliant, DCI-P3 colour space) via Qube Cinema theatrical toolchain. Simultaneously prepared OTT streaming deliverable (ProRes 4444, Rec.709, -24 LUFS normalised audio, closed captions) for Amazon Prime Video. Single-master dual-format delivery pipeline.
  • Result: Zero data loss across 28TB in + 20TB out, 100% asset integrity across entire 6-month production. Dual-format delivery (theatrical DCI + OTT) from a single master pipeline. HOD sign-off on pre-premiere screening. Approved Qube Cinema film prints for South India theatrical release. Film won Third Best Film at BIFFes, received Filmfare nomination, and Film Companion recognition. Amazon Prime Video delivery accepted without rejection.
Laughing Buddha (Rishab Shetty Films / KRG Studios)
  • Problem: Director Bharath Raj struggled to find the right stylistic cut for the trailer, the film's subtle, light-hearted emotional tone resisted standard comedy-drama marketing tropes. Multiple approaches had failed to capture the film's identity.
  • Selection: Chosen by the director after he saw the Shivamma trailer, and trusted with the full footage and an open brief to find the film's identity.
  • Trailer delivery: Delivered a cut the director described as "brilliant" (Director's Adda 2024, at 11:49) in 48 hours, with no revision cycles.
  • Technical support: The main film edit was on Avid Media Composer with ancillary workflows split across Premiere Pro. Replicated the main editor's AAF (Advanced Authoring Format) round-trip workflow, debugging metadata loss, relink failures, and timecode drift during cross-NLE interchange. Resolved compatibility issues to ensure timely theatrical delivery.
  • Additional deliverables: Edited promotional videos and music videos for the film's marketing campaign across social and broadcast channels.
  • Result: Trailer hit 3M+ views, contributed to ₹1.18 Cr theatrical gross. Named in official theatrical poster credits. HOD sign-off on pre-premiere screening. Approved Qube Cinema film prints for South India theatrical release. OTT delivery to Amazon Prime Video. Director entrusted subsequent high-stakes projects based on this delivery.
Shivamma (Rishab Shetty Films), Busan New Currents Award Winner
  • Context: Critically acclaimed Kannada docu-fiction directed by Jaishankar Aryar, produced by Rishab Shetty. Won the New Currents Award at the 27th Busan International Film Festival, plus awards at Fajr IFF and Three Continents Festival. 12TB production media.
  • Triple-format delivery: DCI theatrical (JPEG2000, DCI-P3, SMPTE 429-2 via Qube Cinema), OTT streaming (SunNXT, present in deliverables meeting with director), and broadcast television (Zee Kannada FHD, 5.1 audio). Designed folder structure and documentation enabling all three formats from single graded master.
  • Broadcast QC remediation: Received Zee Kannada Technical Check rejection with 20+ flags. Diagnosed and resolved: video noise/flicker (4 timecodes), out-of-frame (2 timecodes), black level violations, subtitle font size and missing subs (6 timecodes), subtitle safe area violations (9 timecodes), 5.1 audio channel mapping error (all tracks delivered as mono across entire film), and audio sync issues.
  • DCI mastering: Full colour pipeline: camera log to DaVinci Resolve grade to DCDM (XYZ, 12-bit) to JPEG2000 via Qube Cinema. HOD sign-off on pre-premiere screening. Approved Qube Cinema film prints for South India theatrical release.
  • Result: All three delivery formats accepted on resubmission. Single-master triple-format pipeline eliminated duplicate workflows. This trailer directly led to the Laughing Buddha commission by Director Bharath Raj.
Claws & Teeth
  • Problem: Short film post-production required managing complete raw footage and project files while coordinating editing, colour grading, and sound design departments in parallel. Festival submission deadlines were non-negotiable.
  • Approach: Built structured bin architecture in Avid with standardised naming conventions, selects hierarchies, and metadata tagging. Managed AAF exports for colour (DaVinci Resolve) and sound (Pro Tools) with embedded timecode references to prevent conform errors on return trip.
  • Result: MAMI 2024 Best Short Film Award. 100% data integrity, zero data loss, zero relink issues across the entire multi-department pipeline.
Remote Documentary (Oct–Dec 2024)
  • Problem: LA-based director, senior editor in New Zealand. Previous editors had failed to deliver. The project had 40TB of disorganised production data spanning 1.5 years, scattered across drives, inconsistent naming, timelines in multiple NLEs (Avid, FCP, DaVinci), no unified asset database.
  • Data recovery & organisation (3 weeks): Audited the entire 40TB media library. Built a structured folder hierarchy with consistent naming conventions. Cross-referenced camera metadata (reel IDs, timecodes, shoot dates) to rebuild the chronological production archive. Identified and catalogued missing assets.
  • NLE migration: Migrated timelines from Avid (via AAF), FCP (via FCPXML), and DaVinci (via EDL/XML) into Premiere Pro, the production's chosen delivery NLE. Resolved frame-rate conflicts, timecode offsets, and media relink failures at every interchange point. Zero asset loss.
  • Scripting & automation: Built Premiere PXP (Production Extension Plugin) scripts for batch AAF exports, automating what would have been hours of manual export-per-sequence work. Troubleshot Premiere's proxy reconnection bugs (known instability with mixed-codec proxy farms) and engineered a custom proxy tracker spreadsheet mapping offline/online media paths to prevent silent relink failures.
  • Result: Delivered the first viable content pass where previous editors couldn't. Established the technical foundation for the rest of the edit. Project ongoing with remote async collaboration across 3 time zones.
Commercial & Corporate
Project FARM (Capgemini)
  • Problem: Capgemini needed to communicate complex AI/big data integration in Indian agriculture to global C-suite audiences. The story had to balance farmer perspective with engineering expertise across multiple deliverable formats.
  • Approach: Edited and sound-designed the full narrative from 3-day multicam shoot. Animated Figma UI mockups of the AI platform directly into live-action footage using After Effects, bridging the gap between abstract software concepts and tangible agricultural impact. Designed full sound mix from location audio to final master. Managed 2TB of production data with structured archive for multi-format delivery.
  • Result: 13K+ views on Capgemini's official channel. Film used for international investor communications and C-suite presentations. Delivered main film + social cuts + internal presentations from single master edit.
Brigade Icon (Brigade Group)
  • Problem: Architectural reveal film for Brigade's Chennai project. Shot under extreme monsoon conditions with elaborate equipment setup across arterial roads. Tight post-production timeline with no room for reshoots.
  • Approach: Lead Editor with full editorial authority from assembly to picture lock. Managed multicam footage with weather-damaged audio tracks, rebuilt usable sound design from salvageable location audio and library sources.
  • Result: Director Preshan Thangavel's public Instagram endorsement of the final delivery. Consistent aesthetic maintained across multiple architectural projects.
BLR Airport (BIAL)
  • Problem: Institutional films for Bangalore International Airport, corporate and training content under strict airport security constraints. Limited shoot windows, restricted equipment zones, broadcast-standard compliance required.
  • Approach: Cinematographer & Editor on 3 films. Managed camera and editorial workflows within security-mandated time windows. Delivered to broadcast specifications (Rec.709, -24 LUFS audio, closed captions).
  • Result: All 3 films delivered on schedule within airport operational constraints. Content deployed for internal training and corporate communications.
Snaptrude (AEC Tech)
  • Freelance Video Editor (2022–2025), social campaigns and hackathon presentation assets for AEC technology startup
Production Company, Weaving Tales Productions (Dec 2022 – Oct 2023)
  • Founded and operated a registered proprietorship handling features, National Geographic broadcasts, international documentaries, and government infrastructure films including K-RIDE Bengaluru Suburban Rail Project
  • Managed a team of 3 juniors, standardised post-production workflows across 5+ weekly deliverables (local advertising, corporate events, institutional content), increasing turnaround by 30%
  • Encoding automation: Built FFmpeg batch encoding pipeline (bash/shell scripts) for automated format conversion and proxy farm management. Scripts ingested camera-original media (BRAW, ProRes, R3D), transcoded to editorial-weight H.264 proxies with standardised resolution, bitrate, and codec parameters. Automated ingest-to-proxy workflow eliminated manual transcode bottleneck for 5+ concurrent clients. Pipeline handled format detection, metadata preservation, and output verification.
  • NLE scripting: Developed custom Avid XML macros (bin templates, auto-import scripts, metadata batch tagging) and proprietary .ave keyboard architectures optimised for high-volume editorial, documented 30% editorial efficiency gain across the team
  • Wound down operations to pursue MSc AI at University of Kent
HOD Sign-offQube CinemaAmazon Prime28TB · 20TBZee KannadaSunNXTTriple-FormatBroadcast QCRishab Shetty FilmsBusan WinnerMAMI 2024DCI MasteringCapgeminiK-RIDEFounder
B.Voc Filmmaking & Media Studies
| 2018 – 2021
St. Joseph's University · Bangalore · 7.87 CGPA
  • Graduated with 7.87 CGPA while simultaneously running productions and delivering professional commercial work throughout all three years
  • Directed, wrote, shot, and edited Kasuti entirely alone during the COVID-19 second wave, a period drama (1990s setting) requiring visual authenticity with zero production design budget:
    • Studied the visual language of Abbas Kiarostami and Asghar Farhadi to achieve emotional subtlety without relying on set decoration
    • Hand-crafted edit pacing prioritising emotional beats over conventional narrative structure. Designed sound strategically, silence as a narrative device, layered audio for psychological depth
    • 14 international awards including 7 at Uruvatti IFF
    • 2nd Runner Up at BISFF 2024 (Oscar®-accredited festival)
  • Appointed Head of Selection Committee at RNFF 2020 and Guest Jury Member in 2021
  • ICSE foundation: 88% aggregate (92% Mathematics), 3 months school attendance, remainder representing U16 Zonal Cricket
7.87 CGPA14 AwardsOscar® AccreditedB.Voc FilmmakingRNFF Jury
Trusted By
Rishab Shetty Films
Rishab Shetty Films
Fox & Friends
Fox & Friends
Shot Ready
Shot Ready
Snaptrude
Snaptrude
Fish Wire Media
Fish Wire Media
TMEFX
TMEFX
Masari Talkies
Masari Talkies
Say Hello

Goutham Soratoor

Always happy to connect, whether it's about engineering, film, or anything in between.