AI/ML Engineer · Software Engineer
I build agentic AI systems and the evaluation, observability and guardrails that take them from proof of concept to production. Currently at Pfizer building enterprise GenAI platforms end to end.
AI/ML Engineer · Pfizer Inc, Groton, CT · Jan 2026 - Present
AI/ML & Software Automation Engineer, Co-Op · Pfizer Inc, Groton, CT · Jan 2025 - Sep 2025
Research Assistant, Data Science & Software · Northeastern University, Boston, MA · Feb 2024 - Dec 2024
Software Development Engineer · BMC Software Inc, Pune, India · Jan 2022 - Jul 2022
Generative & Agentic AI: LLMs (Claude, GPT, Llama), Generative AI, Agentic AI, LangGraph, LangChain, MCP, RAG, Prompt Engineering, Guardrails, Evaluation (LangSmith, RAGAS), Langfuse
Model Training & Serving: Fine-tuning (LoRA / PEFT), Post-training (SFT, GRPO), RL from Verifiable Rewards, PyTorch, TensorFlow, HuggingFace Transformers, vLLM, Self-hosted LLM Serving, Inference Optimization, Constrained Decoding, Quantization (NF4, INT8, fp8), ONNX
ML, Vision & Modelling: NLP, Computer Vision (YOLO, Faster R-CNN), ResNet / ViT, VLMs, XGBoost, Ensembles, Bayesian Optimisation, Statistics
Engineering stack: languages, backend, data, cloud and practices
Languages: Python, Java, TypeScript, JavaScript, C++, C#, SQL, R, Scala, CUDA, Bash / Linux
Backend & Web: FastAPI, Spring Boot, REST APIs, Microservices, Node.js, React, Next.js, Angular, Tailwind, MVC, Apache Camel, Event-Driven Architecture
Data & Storage: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, Pinecone, Milvus, ChromaDB, Spark, Kafka, MapReduce, Knowledge Graphs, ETL Pipelines
Cloud, DevOps & MLOps: AWS (Bedrock, S3, SageMaker, Lambda, EC2, DynamoDB), Azure AI Foundry, GCP, Docker, Kubernetes, GitHub Actions, Jenkins, Terraform, CI/CD, MLflow, Observability & Monitoring, Dataiku DSS, HPC / Slurm
Practices: System Design, Data Structures & Algorithms, OOP, Design Patterns, Agile / Scrum, LLM Evaluation, A/B Testing, Benchmark Design, Statistical Testing, Reproducibility, Testing (JUnit, PyTest), Technical Writing
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KnovaAI: Advanced Multimodal AI for Chemistry-Aware Document Intelligence
AIChE, 2026 · Read here -
Accelerated Development of Active Pharmaceutical Ingredients with Machine Learning Driven Automated Platforms
AIChE, 2025 · Read here -
Gastric Cancer Detection with Ensemble Learning on Digital Pathology
MDPI Diagnostics, 2024 · Read here
Three more, and the full list on Google Scholar
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Automated Data-Rich Leaf Filtration Platform for Accelerated Prediction of Pressure Filtration Performance for API Manufacturing
AIChE, 2025 · Read here -
MRI Image Enhancement using Hybridizations of Contrast Enhancement Techniques
IEEE Conference, 2022 · Read here -
Fusion Based Image Enhancement Approach for Brain Tumor Detection
IJRITCC Journal, 2023 · Read here
M.S. Computer Engineering · Northeastern University, Boston · Sep 2023 - Dec 2025 · GPA 3.8/4
B.E. Computer Science & Engineering · Savitribai Phule Pune University · Jul 2019 - Sep 2023 · GPA 3.8/4