Nirmal Kuiry

Experienced Data Scientist and AI/ML Engineer with strong expertise in ML, forecasting, and Generative AI, experienced in building production-grade data pipelines, predictive models, and LLM-powered applications. Skilled in Python, SQL, TensorFlow, LangChain, AWS and Gen AI (LLM) architectures, with hands-on experience delivering end-to-end AI solutions that enable faster decision-making and measurable business impact.

Data Scientist at Intellimark.AI (2025-12 – Present)

• Designed and deployed demand forecasting for QCom and ECom datasets using Python (TensorFlow, Polars), NLP and ML models, improving forecast accuracy by 10-12% and enabling demand planning for clients.
• Built automated forecasting evaluation pipeline covering 14+ models, reducing manual analysis time by 25%.
• Deployed LangGraph/LangChain-based multi-agent AI systems with agent-to-agent workflows, memory management, and API integrations (FastAPI, AWS Bedrock).

Associate at Tech Mahindra (2025-07 – 2025-11)

• Results-driven professional with a strong foundation in ML, achieving a 15% improvement in process efficiency.
• Delivered end-to-end data solutions using Python, LLM that reduced manual reporting effort by 30%, improved retention by 12%, and boosted data accuracy by 18% through automation and data validation.

Data Analyst (SME) at Innovalance Learning Systems Private Limited (2025-01 – 2025-06)

• Data-driven statistician with experience delivering analytical solutions to a worldwide learner base, resolving complex quantitative problems with 98% solution accuracy. Built Power BI dashboards for monitoring resolution metrics. Enhanced query resolution quality by 25% through structured statistical frameworks.

AI/ML Engineer at Freelance (2024-06 – 2024-12)

• Developed LLM interface APIs with dynamic model routing (GPT-4 class, GPT-3.5) and a RAG pipeline using vector search and reranking. Delivered production-ready, cost-efficient AI agent system. Implemented SFT and RLHF pipelines for multimodal LLM architectures, improving model response accuracy by 9%. Increased predictive model performance by 5-7% through feature engineering and hyperparameter tuning.

Data Analyst (SME) at Gyanohm Learning Private Limited (2024-02 – 2024-05)

• Reduced clarification rework by 30% and maintained 87% academic compliance, as assessed through quality audits, repeat-engagement metrics, academic integrity guidelines, and structured review processes.

Master's Degree in Statistics – University of Kalyani (2021-10 – 2023-10)

Bachelor's Degree in Statistics – West Bengal State University (2018-07 – 2021-10)