Shubham Jakhmola
I’m an AI and Machine Learning Engineer with a strong focus on building reliable, production-ready intelligent systems.
About
I’m an AI and Machine Learning Engineer with a strong focus on building reliable, production-ready intelligent systems. I enjoy working end-to-end: understanding real problems, designing practical ML solutions, and engineering them into scalable, well-monitored products. Colleagues describe me as curious, structured, and calm under pressure — someone who enjoys learning, collaborating, and taking ownership. I’m now looking for a role where I can contribute to impactful AI products, continue growing in ML engineering and MLOps, and work with teams that value quality, innovation, and continuous improvement. Outside of work, I enjoy exploring emerging AI research, improving my coding skills, and staying active.
- 4 years' experience
- Joined December 2025
Industry experience
- Software & Internet
- Education
Work experience· 4 roles
Architected a multi-agent in-app conversational agent with a proprietary LLM and web-search crawler; chunked docs in Faiss/Redis, with hybrid BM25 + cosine retriever. Authored 100+ prompts for Gen‑AI features (smart replies, content generation, on-device rewrite). Built a zero-/few-shot intent classifier tagging incoming text with key user intents; macro-F1 0.87. Boosted on-device rewrite support, feature-share taps by 70% and doubled campaign CTR during seasonal launches.
Automated ETL and data-quality checks for 30k+ student records (PostgreSQL, Excel Power Query), eliminating duplicates and missing grades; lifted data accuracy and reduced monthly reconciliation time from two days to under three hours.
Built a semi-automated workflow in Cognition and QGIS to label ~10k tree crowns across 50 km² of aerial imagery. Implemented GIS-based checks for notation quality (IoU +15 percentage points) and advanced a U-Net copy-segmentation model from 0.65 to 0.83 F1, providing clean data for forest-carbon studies.
Education
Certifications and awards
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