AI Engineer
RAG · LLMs · Agentic systems
Production-ready AI systems, engineered for
4+ years shipping production RAG, LLM and agentic systems — turning 4,000-page audits, biopharma research and financial operations into work software does on its own.
100+
analyst roles automated
₹2.9 Cr
GTV lift on Forex flows
~40%
faster insight delivery
60–70%
less manual reporting
01 — Selected work
01
Enterprise Report Generation Platform
Greychain AI · 2026 → present
Lead engineer on a platform that writes 3,000–4,000 page audit reports on its own. It pulls PDFs, DOCX, Excel and images straight from SharePoint, maps them against an auto-extracted table of contents, then hands each section to its own LLM writer agent with the right reference material. Chapter-level validation, version control and section-scoped chat assistants mean it ships with almost no manual intervention.
Replaced teams of 100+ analysts · multi-month cycles compressed to weeks · in production with 2 large auditing firms after penetration testing.
02
AlfaTRx — Biopharma Intelligence
Anervea.AI · 2025
An analytics chatbot that lets biopharma teams ask their data questions in plain English — NL-SQL, RAG and semantic search running underneath, answers streamed back over websockets with AI-generated Highcharts built in. UX decisions were grounded in user-psychology research, and adoption moved with it.
~40% faster insight delivery · significant engagement gains after UX optimisation.
03
Care-Easy — Doctor’s AI Companion
Anervea.AI · 2025
Backend for a doctor-facing platform that watches patients in real time and writes its own reports — personalised diet plans, plain-language summaries, progress dashboards. NLP and LLM pipelines turn prescriptions, diagnostics and clinical notes into explanations patients can actually follow.
60–70% less manual reporting for doctors · ≈3× better patient comprehension · hundreds of interactions per day.
04
aiaccountant.com — Financial Automation
Karbon Card · 2024–2025
An event-driven platform that reads a transaction and knows what it is — generative AI and RAG for categorisation and merchant understanding, backed by AWS ETL pipelines that turn raw Amazon and Walmart data into AI-ready structure.
90% categorisation accuracy · 50× faster and cheaper processing · 80% better merchant clarity, 50% better data quality.
02 — Experience
Jan 2026 — Present
Remote
AI Engineer · Greychain AI
Core technical decision-maker on the enterprise report-generation platform — built the ingestion, templating and validation layers end to end and shipped it to production with enterprise security controls. When a production database was lost and both internal recovery and AWS support came up empty, rebuilt ~80% of it from system logs.
Jun 2025 — Dec 2025
Pune, India
AI/ML Engineer · Anervea.AI
Led AlfaTRx end to end and built the Care-Easy backend alongside it. Designed the NLP + LLM pipelines that turn clinical documents into explainable summaries — in production, handling hundreds of patient interactions a day.
Jul 2023 — Jun 2025
Bengaluru, India
Software Engineer I, AI/ML · Karbon Card
Delivered aiaccountant.com and built scalable ETL on Python, SQL and AWS. Automated mission-critical Forex workflows with rule-based and ML systems — a ₹2.9 Cr GTV lift and ₹2L+ saved in API costs.
Jun 2022 — Jun 2023
Bengaluru, India
Data Scientist Intern · Karbon Card
Cut my teeth on the same ETL and analytics stack that later became aiaccountant.com — data pipelines, e-commerce integrations and early ML experiments that earned a full-time offer.
Jan 2021 — Jun 2022
Kolkata, India
Software Developer Intern · Inspirigence Works
First engineering role, shipping production software alongside a computer science degree — before moving into applied ML and AI.
03 — Education
2023 — 2026
Distance
MSc Computer Science, AI & Machine Learning · Woolf
Specialising in Data Science & Analytics — deep learning, computer vision, distributed training, and the unglamorous but critical work of productionising ML systems. Completed alongside full-time work.
2019 — 2023
India
B.Tech Computer Science (Hons), Minor in Finance · Lovely Professional University
Computer science and engineering foundations, with a finance minor that later shaped the fintech and financial-automation work at Karbon Card.
04 — Toolkit
AI / LLM
–Engineering
+ML & Data
+05 — Contact
Building something ambitious with AI?
Indraneel Dutta · AI Engineer · India — open to remote AI/ML engineering roles and consulting engagements