AI/ML Engineer · GenAI, RAG & AI Agents
AI/ML Engineer specialising in Generative AI, retrieval-augmented generation, AI agents, LLM applications and machine learning — designed for production from day one, not just as prototypes.
Currently
AI/ML Software Engineer II
ProductSquads · Jan 2026 — Present
0.0+
Years building AI systems
Hands-on AI/ML engineering since January 2024.
0+
Production AI systems shipped
RAG assistants, AI agents, ML platforms, CV pipelines and LLM applications.
0%
ML accuracy on dynamic datasets
No-Code Dynamic ML Framework across multiple business datasets.
0%+
Faster time-to-insight
One-click ML workflows versus manual analysis.
0%
Detection accuracy
YOLOv8 shipping-label detection for parcel processing.
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Domains worked in
Compliance, sales automation, logistics / computer vision and consumer products.
Selected work
Problem, constraints, architecture, decisions and measured outcome — not screenshots and buzzwords. Client and product names are withheld under NDA.
Conversational access to US regulatory and safety standards for product teams.
An AI agent that runs the outbound sales funnel — from lead discovery to booked meetings.
One-click regression, forecasting and anomaly detection for non-technical teams.
What I build
Multi-step agents that execute real business processes — outreach, scheduling, research, coordination — with explicit state, tools and human hand-off.
Learn moreGrounded assistants over your documents, regulations, policies and internal knowledge — with citations, access control and a refresh pipeline.
Learn moreProduct features and internal tools powered by LLMs — personalisation, summarisation, classification, conversational interfaces — engineered for consistency and cost.
Learn moreForecasting, regression, anomaly detection and classification pipelines built on your data, with honest validation and simple interfaces.
Learn moreAI Lab
Sanitized, self-contained builds you can open and try. Prototypes are marked as such until they go live.
Upload a document, watch it get chunked and embedded, then ask questions and inspect exactly which passages grounded the answer.
Step through a LangGraph-style agent as it plans, calls tools and recovers from failures — with the state visible at every node.
Drop in a CSV and get profiling, feature selection and a validated regression, forecast or anomaly model — one click.
Experience
Jan 2026 — Present
AI/ML Software Engineer II · ProductSquads
Cuts manual regulatory research for product and compliance teams by turning hundreds of pages of standards into a queryable knowledge base.
Jul 2024 — Dec 2025
Junior Data Scientist · Bacancy
Reduced manual ML effort for non-technical teams and automated the full outbound sales funnel for sales teams.
Jan 2024 — Jun 2024
Data Science Intern · Bacancy
Faster parcel processing and automated tracking through detection + OCR.
Let’s build
Remote-friendly, async by default, and comfortable working across US, UK, EU and UAE time zones from IST (UTC+5:30) · overlaps US, EU & UAE hours.