$whoami

AI ENGINEER & GOOGLE DEVELOPER EXPERT

High-impact Machine Learning Engineer with 4+ years of experience architecting Generative AI solutions, LLM pipelines, and scalable MLOps infrastructure. Google Developer Expert (GDE) in GenAI and Hugging Face Fellow with a proven track record of optimizing model inference by 40%+ and reducing deployment costs by 50%. Expert in fine-tuning Large Language Models, multimodal data extraction, and ensuring HIPAA-compliant AI deployments in healthcare.

TECHNICAL SKILLS

• Languages: Python, Mojo.
• Machine Learning: TensorFlow, PyTorch, Keras, Scikit-Learn, XGBoost, LightGBM, Hugging Face Transformers.
• GenAI & LLMs: RAG Pipelines, LlamaIndex, LangChain, vLLM, Prompt Engineering, Fine-tuning (Peft/LoRA).
• MLOps & Cloud: Google Cloud Platform (GCP), AWS, Docker, Kubernetes, FastAPI, TensorRT, W&B, MLflow.
• Databases & Tools: Redis, MongoDB, PostgreSQL, Git, CI/CD.

PROFESSIONAL EXPERIENCE

IntelliTek Products Pvt. Ltd. | Software Engineer (Machine Learning) | Sep 2024 – Present

• Leading Generative AI initiatives for healthcare applications, automating clinical documentation (SOAP notes) and issue extraction from patient-doctor audio logs.
• Engineered HIPAA-compliant guardrails to prevent LLM hallucinations and adversarial attacks, ensuring 99.9% data privacy adherence.
• Optimized inference pipelines for local LLM deployment, reducing cloud API costs by 30% while maintaining response latency under 200ms.

TensorLake Inc. | Machine Learning Engineer | Apr 2024 – Aug 2024

• Architected Indexify, a real-time structure extraction engine for multimodal unstructured data (PDFs, Audio, Images).
• Implemented advanced retrieval algorithms that improved RAG system query response times by 25%.
• Enhanced data ingestion throughput by 30% by refactoring legacy Python pipelines into asynchronous microservices.

Dynopii Inc. | Machine Learning Engineer | Apr 2021 – Mar 2024

• Constructed end-to-end ML pipelines for conversational AI, increasing automated resolution rates by 35%.
• Reduced model training costs by 50% through hyperparameter optimization and dynamic resource allocation on AWS Spot Instances.
• Note: Held concurrent contract roles during this tenure (Detailed below).

PrediQt Business Solutions | Senior AI/ML Engineer (Contract) | Jun 2023 – Nov 2023

• Spearheaded LLM fine-tuning projects, accelerating model inference time by 40% via quantization and TensorRT optimization.
• Designed scalable serving architectures capable of handling 50% higher concurrent request volume during peak loads.

TensorFlow (Google) | Google Summer of Code Contributor | May 2022 – Sep 2022

• Developed official Kaggle examples for YDF (TensorFlow Decision Forests), enabling users to train, interpret, and serve Random Forests and GBDTs.
• Contributions led to a 15% increase in library adoption within the competitive data science community.

Celebal Technologies | Data Scientist Intern | Sep 2021 – Dec 2021

• Implemented Classical ML and NLP solutions, improving algorithmic efficiency by 25% through vectorized Python execution.

KEY PROJECTS & OPEN SOURCE

FireRequests (Python Library) | Creator

• Engineered a high-performance asynchronous HTTP client, achieving 10x speedups in file transfer operations compared to standard requests.
• Utilized asyncio and aiohttp for non-blocking I/O; adopted by companies like Roboflow for high-throughput data ingestion.

AutoTrain Advanced (Hugging Face) | Contributor

• Integrated Weights & Biases (W&B) logging into Hugging Face’s AutoTrain to enable real-time experiment tracking and model versioning.
• Streamlined the fine-tuning workflow for LLMs, enhancing visibility into training metrics for thousands of users.

AutoLGBM (Python Library) | Creator

• Devised an automated pipeline for LightGBM training and serving using Optuna for hyperparameter tuning (boosting performance by 20%).
• Deployed via FastAPI, trimming deployment setup time by 40%.

PUBLICATIONS

• Gated Associative Memory: A Parallel O(N) Architecture for Efficient Sequence Modeling – arXiv:2509.00605 [cs.CL] | September 2025

EDUCATION

Doctor of Business Administration (DBA) | ESGCI, Paris | Expected 2028

• Focus: Business Model Innovation for LLM Adoption in Clinical Workflows.

Bachelor of Technology | Netaji Subhash Engineering College, Kolkata | Graduated 2022

• Focus: Computer Science & Engineering | CGPA: 8.9/10

AWARDS & COMMUNITY LEADERSHIP

• Google Developer Expert (GDE): Recognized by Google for expertise in Generative AI and Machine Learning.
• Hugging Face Fellow: Selected for contributions to the open-source NLP ecosystem.
• Co-Organizer: TensorFlow User Group (TFUG) & GDG Cloud Kolkata.