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Debmalya S. from India

Debmalya S.

India Less than 1 year
Open to offersNew to Platform
Languages
EnglishHindiBengali
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About

Debmalya S. is an accomplished AI Engineer based in Kolkata, India, with substantial expertise in Generative AI and a strong foundation as a published researcher with Springer. Known for building enterprise-grade solutions, they excel at creating scalable microservices and deploying customized AI platforms that serve over 500 users daily. Debmalya's notable contributions include optimizing LLM evaluation pipelines and reducing model output errors in complex scenarios. Their technical proficiencies encompass Python, PyTorch, FastAPI, and advanced cloud containerization using OCI and AWS. They have demonstrated excellence in architecture with projects like the "Open Clinical AI" platform and have a proven track record of delivering high-accuracy solutions such as facial recognition systems for enterprise clients. Debmalya holds certifications in OCI Generative AI and Agentic AI, enhancing their capability to implement sophisticated AI systems at scale. Additionally, they are academically affiliated with IIT Madras and JIS University, focusing on Data Science and Computer Science with AI specialization.

Experience

  • Generative AI Analyst / Engineer

    iMerit Technology · 2026 — Present
    Optimized production LLM evaluation pipelines for more than 10 enterprise workflows, establishing automated benchmarks for safety, factual alignment, and bias mitigation. Implemented RLHF, Supervised Fine-Tuning (SFT), and prompt red-teaming frameworks, leading to a reduction in model output hallucination rates. Streamlined AI-assisted annotation pipelines for large multi-modal datasets, enhancing data throughput and shortening production model deployment cycles.

  • AI Research Intern (Springboard 6.0)

    Infosys · 2025 — 2026
    Engineered multi-model AI agent systems aimed at clinical diagnostics, which integrated dynamic tool calling and multi-step reasoning chains to minimize query response latency. Developed automated LLM benchmarking suites that accommodated over 1,000 daily inference requests, assessing parameters such as context retrieval accuracy and throughput. Containerized inference microservices with FastAPI and Docker, resulting in faster API response times across enterprise integration pipelines.

  • AI Research Intern

    Coding Jr · 2025 — 2025
    Led a team of 5 engineers to create and implement an enterprise AI copilot platform, boosting client engagement within target user bases. Developed and refined machine learning models using TensorFlow and Scikit-learn, deploying Flask RESTful APIs that maintained a high system uptime.

Skills & Expertise

Business Intelligence AnalystAI and Data ScienceLead Generation Cold CallingAI EngineerCA (Chartered Accountant)Computer Vision Engineer

Education

  • Bachelor of Technology in Computer Science and Engineering (Specialization in AI & ML)
    JIS University · 2022 — 2026
  • Bachelor of Science in Data Science and Applications
    Indian Institute of Technology Madras (IIT Madras) · 2023 — Present