// summary
Results-oriented Data Scientist and AI Engineer with 14+ years of experience building intelligent systems, scalable ML workflows, and production-grade AI pipelines. Expert in deploying agentic frameworks, generative AI, and RAG architectures to turn complex data into actionable insight — driving efficiency gains of up to 85% through automation and predictive modeling.
Technical skills
Data Science & ML
TensorFlow · scikit-learn · XGBoost · LightGBM · MLflow · Neural Networks · NLP · MLOps · KServe · Kubeflow · Predictive Analytics
AI & LLM
GPT-4 · Claude · Azure OpenAI · Ollama · LangChain · LangGraph · LangSmith · Mixtral · ChromaDB · RAG · Multi-Agent Orchestration · Agentic AI (MCP, A2A)
Cloud
AWS (Athena, S3, Redshift, Lambda) · Databricks · Sagemaker · GitHub Actions · MLOps Pipelines
Programming & Frameworks
Python · Golang · SQL · SQLAlchemy · Pandas · PyTorch · FastAPI · Docker · Kubernetes · Airflow · Spark · Kafka · Git · Linux
Experience
Lead Software Engineer · EPAM Systems
Aug 2025 — PresentClient: S&P Global Ratings · Pune
- Production-grade Python for MLOps/LLMOps across training, deployment and monitoring.
- AI apps with LangChain, LangGraph & LangSmith; agentic architectures using MCP and Google A2A.
- RAG pipelines with prompt engineering; distributed microservices for batch & stream analytics.
Senior Manager, Data Science · LatentBridge
Apr — Jul 2025- Production NL-to-SQL engine — cut research from 4+ hrs to minutes (+85% query efficiency).
- Agentic research app with multi-LLM orchestration (GPT-4, Azure OpenAI, Ollama) + LangGraph (−80% manual investigation).
- Scalable agentic RAG with Mixtral + Azure embeddings (+45% extraction efficiency).
Lead Data Engineer · Daaslabs.ai
Feb 2024 — Feb 2025- Scalable Python/PySpark ETL processing 500+ GB/day (+50% throughput) for real-time model training.
- Text-to-SQL prototype for complex enterprise schemas with metadata caching (+35% accuracy).
- MLflow deployment framework with versioning (−40% deployment downtime).
Senior Manager, Data & Analytics · Exalogic Consulting
Jan 2023 — Jan 2024Dubai, UAE
- Time-series forecasting & planning algorithms — insight generation from a week to minutes (−75%).
- Cloud-agnostic migration to Kubernetes/Docker microservices (+30% scalability); GDPR/CCPA governance.
Senior Analyst, Run & Support · Syngenta
Feb 2021 — Jan 2023- MLOps migration to KServe & Kubeflow — saved millions in infra, +30% operational efficiency.
- Agri-tech data models (+40% ML scaling); monitoring frameworks (−30% production errors).
Previous experience
- IBM — Sr. Packaging Consultant / App Developer · 2015–2021
- MResult — SAP BI Architect · 2013–2015
- KPIT — Software Engineer · 2011–2013
Education
- M.Sc. Business Analytics — BITS Pilani · 2021
- Bachelor of Computer Applications — IGNOU · 2011