ai engineer
i build what comes after pretraining — fine-tuning pipelines, rl environments, reward systems, and production ml that ships.
ai engineer
nov 2025 - present(full time, remote)built the ai video generation pipeline from scratch — from llm orchestration and model finetuning to production apis serving thousands of users.
video generation pipeline
built an end-to-end pipeline that converts text/image queries into animated educational videos with multilingual narration in ~30 seconds. powered 280k+ videos across 14+ languages using manim for animation rendering and elevenlabs for text-to-speech.
llm orchestration
designed a multi-stage llm pipeline with model routing, tool calling, and async task execution. serves 45k+ active users with reliable throughput.
dataset engineering & finetuning
built sft/dpo/repair training data pipelines using unsloth ai for domain-specific model finetuning across multiple subjects — covering supervised fine-tuning, preference optimization, and error recovery.
rag & search
built a rag pipeline that indexes educational content into vector embeddings, retrieves relevant context at query time, and feeds it into the llm for grounded, accurate responses — reducing hallucinations and enabling subject-aware answers.
recommendation system
built a personalized video recommendation engine with multi-source candidate generation (topic-based, collaborative filtering, trending, exploration), embedding similarity search using sentence-transformers and pgvector, and a weighted ranking engine scoring on topic match, freshness, and popularity. handles cold-start users with trending/diverse fallback, and adapts feed composition as users warm up. deployed on kubernetes with 6 background workers for async feed generation.