Headline

AI/ML Engineer with 4+ years building production ML, Computer Vision & LLM systems for products and enterprise | MS Computer Science (AI & ML) | Available for AI consulting

About

I build AI systems that make it to production — not just notebooks and demos. Over the past 4+ years I've worked across product development and enterprise client delivery, shipping machine learning, computer vision, and LLM-powered features that hold up under real usage. I recently completed an MSc in Computer Science (AI & Machine Learning), specializing in Data Science & Analytics — covering deep learning, computer vision, distributed training, and the unglamorous but critical work of productionizing ML systems. What I care about: turning a fuzzy problem into something that ships, validating fast, and building tools people actually use. That shows up in my own projects too — like Leakfinder, a review-mining tool that surfaces product issues and marketing angles for DTC/Shopify brands straight from their customer reviews. I also lead technical hiring for AI and Python roles, so I spend a lot of time on what separates engineers who talk about AI from those who can build with it. Open to: AI/ML consulting engagements (product strategy, rapid prototyping, production ML) and conversations about senior AI engineering roles. If you're building something with AI and want it done right, let's talk

Location

Pune District

AI stack

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Work experience

AI Engineer at Grey Chain AI, Jan 2026 - Present · 8 mos, Pune, Maharashtra, India, Working on AI-driven enterprise tooling for a global consulting firm's audit practice. Built a report generation platform that automates creation of 3,000-4,000 page audit reports: the system structures the document into sections and chapters, drafts content with AI, and gives users full editorial control to add, edit, or remove chapters as needed. Contributing across multiple client projects in addition to this one.

AI Engineer at Anervea.AI, Jul 2025 - Dec 2025 · 6 mos, Pune District, • Led end-to-end development of AlfaTRx, a multi-source biopharma intelligence chatbot used by cross-functional medical and commercial teams; improved insight delivery speed by ~40% and boosted user engagement through UX optimisation grounded in user psychology. • Engineered the backend for Care-Easy, a doctor-facing companion app enabling patient monitoring and automated AI report generation; reduced manual reporting time by 60–70% for doctors. • Designed NLP and LLM pipelines to convert prescriptions, diagnostic documents, and clinical notes into patient-friendly summaries, increasing patient comprehension by an estimated 3× based on doctor feedback. • Built scalable production systems supporting hundreds of patient interactions and multi-report workflows per day, ensuring high availability and seamless doctor–patient information flow.

Building AI Accountant (KoreFI) at AI Accountant, Feb 2024 - Jun 2025 · 1 yr 5 mos, Bengaluru, AI-driven financial automation platform for startups and SMEs, leveraging Generative AI, RAG, and event-driven architecture to achieve 90% accuracy in transaction categorisation, reducing processing costs and time by 50x. Integrated RAG techniques and standardised data formats across the pipeline, reducing error rates by 30% and enabling unified, actionable insights for customers. Oversaw deployment on AWS, helping establish aiaccountant.com as a market leader in financial automation and driving customer satisfaction and market share growth. Delivered the platform in a CI/CD setup with automated testing, monitoring, and adherence to software design best practices. https://www.aiaccountant.com/

Data Scientist 1 at Karbon Card, Jul 2023 - Jun 2025 · 2 yrs, Bengaluru, Engineered scalable ETL and data pipelines using Python, SQL, and AWS, integrating e-commerce platforms (Amazon, Walmart) and enabling AI-ready structured data for downstream Generative AI and analytics workflows, accelerating processing speed by 50%. Built LLM-powered NLP pipelines for transaction categorisation and semantic merchant understanding using RAG, improving merchant clarity by 80% and overall data quality by 50% - core groundwork for what became the aiaccountant.com platform. Automated mission-critical Forex workflows using intelligent rule-based and ML systems, built exchange-rate APIs, and applied cost-optimisation strategies that boosted GTV by ₹2.9 Cr while saving ₹2L+ in API costs. Improved platform reliability and observability through debugging, clean-code practices, AWS DevOps deployments, and AI-backed monitoring dashboards, improving overall user experience by 30%.

Data Scientist Intern at Karbon Card, Jun 2022 - Jun 2023 · 1 yr 1 mo, Bangalore Urban, Karnataka, India

Software Developer at Inspirigence Works, Jan 2021 - Jun 2022 · 1 yr 6 mos, Kolkata, West Bengal, India

Education

Master of Science in Computer Science, Artificial Intelligence and Machine Learning, Woolf

Bachelor of Technology - BTech Computer Science and engineering (Hons), computer Science and engineering, Lovely Professional University

Public links

github: https://github.com/meneel

medium: https://medium.com/@meneel0312

indraneeldutta.vercel.app: https://indraneeldutta.vercel.app/