Adithyan Ilangovan — Resume

Focused on AI-native tools, personal agents, and systems that help people think, build, and create better.

Co-founder of AI Podcasting . Previously Paramount, Bitmovin, and Nomor. 10+ years across streaming, media infrastructure, and AI systems.

Berlin, Germany adi@aipodcast.ing LinkedIn GitHub

Experience

2024 – Present

Co-founder & Sole Engineer — AI Podcasting · Berlin

  • Built and bootstrapped AI Podcasting to ~$15k USD MRR.
  • Build and operate the AI pipeline, web app, and infrastructure.
  • Closed 5 B2B customers by solving clear workflow pain points.
  • Featured on Indie Hackers.

2022 – 2023

Principal Product Manager — Paramount · Berlin

  • Led product for a live streaming platform team.
  • Shipped enterprise features across engineering and product stakeholders.

2018 – 2022

Senior Software Engineer — Bitmovin · Berlin

  • Built cloud encoding APIs and related infrastructure for global enterprise customers.
  • Joined as one of the first 5 engineers and helped scale the company from startup to mid-size.
  • Chief author on 2 of 3 patents and several IEEE publications. Full list below.

2015 – 2018

Software Engineer, Multimedia Systems — Nomor Research GmbH · Munich

  • Built multimedia delivery systems for EU-funded projects.
  • Contributed to DASH-IF open-source work and media streaming patent analysis.

Education

2013 – 2015

MSc Communication Engineering

Technical University of Munich

Grade 1.3/1.0 with distinction. Master thesis on HEVC encoding awarded 1.0.

2009 – 2013

BTech Electrical Engineering (Honors)

IIT Hyderabad

Grade 8.5/10. Bachelor thesis completed at KDDI R&D Labs, Tokyo.

Skills

AI Systems

Agent engineering LLMs Multimodal MCP Prompt engineering Automation pipelines Personal AI systems

Engineering

Python TypeScript Next.js React Bash Docker Git MongoDB

Infrastructure

Azure Modal CI/CD Production reliability

Domain

Media infrastructure Live streaming Encoding & transcoding Customer-facing platforms

Patents & Publications

Patents

  • Optimized fast multipass video transcoding (US20230269386A1, 2023)
  • Faster hybrid three pass encoding for video streaming (US20240259574A1, 2024)
  • Fast hybrid per-title encoding for video streaming (US20250106413A1, 2025)

Selected Publications

  • FastTTPS: fast approach for video transcoding time prediction and scheduling (Cluster Computing, 2021)
  • Efficient multi-rate video encoding for HEVC-based adaptive HTTP streaming (IEEE TCSVT, 2016)
  • Multi-rate encoding for HEVC-based adaptive HTTP streaming (IEEE MMSP, 2015)

Full list on Google Scholar .

Current Focus

Building agent tooling, personal AI systems, and Codex-native workflows — and writing about what holds up after shipping.

Additional

Germany permanent residency English, Tamil, Hindi, Telugu, Kannada, basic German