solara
transforms raw screen recordings into polished, demo-ready videos within minutes, using ai-generated voiceovers, intelligent zoom effects, and script optimization, built for training material, presentations, and marketing.
pythonffmpegopencv
ai engineer
building smart agentsand intelligent systems
01 / about
in short
i'm an ai engineer who spends most days building agentic systems: multi-agent pipelines, retrieval stacks, and the unglamorous plumbing that makes an llm reliable in production.
outside of work, i've spent the past year-plus reading and writing about mechanistic interpretability, trying to understand not just what these models do, but how they do it. steering vectors, sparse autoencoders, the geometry of the residual stream.
currently
- ai engineer at valtech
- reading & writing on mech interp
02 / work
experience
ai engineer · valtech
may 2026 - present
bengaluru, india · on-site
- building an ai platform that automates sdlc documentation and review workflows, cutting turnaround time and standardizing delivery artifacts across engineering teams.
- building a meta harness for modernizing legacy .net systems of 1m+ loc with a multi-agent architecture.
1m+ locmulti-agentai engineer · nds
july 2025 - april 2026
navi mumbai, india · on-site
- built zara, an ai assistant (azure openai, cosmos db, azure ai search) used by 3000+ employees for day-to-day hr and it support.
- automated freshservice ticket categorization, cutting it workload by 30%, and built a sap successfactors leave-management agent that reduced hr workload.
3000+ employees−30% it workloadai-ml engineer intern · wasserstoff
november 2024 - june 2025
gurugram, india · on-site
- developed llm fine-tuning workflows: supervised fine-tuning and reinforcement learning (grpo) on llama 3.1 8b and qwen 2.5 7b, on custom indian law datasets.
- built a large-scale document processing pipeline for litlaw's rag, handling 100k+ pdfs with ocr, summarization, keyword extraction, and embeddings in qdrant.
- built chatur ai, a multi-agent hr automation system (fastapi, mongodb, langgraph, celery) that cut hr workload by 50%+.
100k+ pdfs50%+ hr workload cutdata science intern · wise analytica
may 2023 - february 2024
london, england · remote
- used the twitter api with ner and ml-based lead scoring to identify prospective customers, a 60% increase in lead generation.
- built an nlp model matching occupation titles to degree titles at 85% accuracy.
+60% leads85% accuracy
03 / projects
things i've built
catch-cap
llm hallucination detection library combining semantic entropy, log-probabilities, web-grounding, and llm-judge verification into a single confidence score.
pythonopenaigeminigroqtavily
litlaw pipeline
large-scale document processing pipeline for rag over indian law: 100k+ pdfs, ocr, summarization, keyword extraction, embeddings in qdrant, metadata in mongodb.
ragqdrantmongodbllama 3.1
chatur ai
multi-agent hr process automation system for screening, scheduling, and coordination, cutting hiring time and effort drastically with minimal manual oversight.
fastapimongodblanggraphcelery
04 / writing
notes
find me
05 / contact