I’m a Software Engineer with a data science background, having 3+ years of experience across applied AI, predictive modeling, operational analytics, and enterprise automation.
I’ve worked in fast-paced startups, independent contributor roles, and large IT teams — across both 0-to-1 product building and structured enterprise environments. My usual approach: define the problem clearly, build a first working version, measure how it performs, and iterate toward production readiness.
My current focus is applied AI: agentic workflows, LLM evaluation, RAG, knowledge graphs, NLP, and ML pipelines. I’m interested in applying research-backed methods to AI products — the kind that move past impressive demos toward systems that hold up in real use.
Education & Work
SASTRA University
Bachelor's in CSE
India
Computer Vision research on video captioning for assistive devices.
- Computer Science
- Computer Vision
- Video Captioning
- Assistive Technology
- Deep Learning
- Image Processing
- NLP
- Multimodal AI
- Python
- Machine Learning
- Research
Hewlett-Packard Inc.
Software Engineer, RPA & AI
Bangalore, India
Built UiPath and OCR-based automation workflows across supply chain, customer support, finance, and marketing operations.
+70% revenue timeliness · 11 FTEs saved · 100+ enterprise clients
- Software Engineering
- Intelligent Automation
- RPA
- UiPath
- OCR
- Document AI
- Computer Vision
- Python
- C#
- SQL
- Tesseract
- Human-in-the-Loop
- API Development
- Reusable Components
- CI/CD
- Azure DevOps
- Enterprise Automation
University of Illinois Urbana-Champaign
Master's in Statistics
Urbana-Champaign, IL
LLM research on Information Retrieval focused on entity relation extraction.
- Statistics
- Machine Learning
- Information Retrieval
- LLM Research
- Entity Relation Extraction
- NLP
- Biomedical AI
- Knowledge Graphs
- RAG
- Python
- Statistical Modeling
- Data Science
Implemented predictive maintenance analytics and failure-analysis workflows to improve field equipment reliability across global sites.
RMSE 35 · 40% faster ETL · 21 global sites
- Machine Learning
- Predictive Modeling
- Forecasting
- XGBoost
- LightGBM
- Python
- SQL
- BigQuery
- SQL Server
- ETL Pipelines
- Data Engineering
- Operational Analytics
- Capacity Planning
- Maintenance Analytics
- Defect Analytics
- Tableau
- Feature Engineering
National Center for Supercomputing Applications
Research Assistant, Generative & Agentic AI
Champaign, IL
Biomedical reasoning research on causal links between genetic perturbations and cancer phenotypes.
100K+ Neo4j triples · 0.64 F1 on BioASQ
- Biomedical AI
- Biomedical NLP
- Knowledge Graphs
- Neo4j
- Relation Extraction
- LLM Reasoning
- Multi-Hop Reasoning
- ReAct Agents
- LangGraph
- HuggingFace
- Transformers
- PyTorch
- Fine-Tuning
- RAG
- Ontologies
Built centralized analytics for maintenance, operations, and inventory planning to support equipment reliability and field decision-making.
$200K maintenance cost saved · 10+ planters/combines tracked
- Operations Analytics
- Business Intelligence
- Power BI
- KPI Design
- Decision Support
- Field Analytics
- Equipment Analytics
- Maintenance Analytics
- Inventory Analytics
- Data Integration
- SQL
- EDA
- Feature Analysis
- Cost-Benefit Analysis
- Stakeholder Reporting
CompFly AI
Software Engineer, Applied AI
Livermore, CA
Developed AI evaluation frameworks, red-teaming workflows, and inference systems to improve the reliability, safety, and robustness of agentic AI applications.
+15% detection coverage · sub-10–150 ms inference
- Agentic AI
- LLM Evaluation
- AI Safety
- Red Teaming
- Multi-Agent Systems
- LangGraph
- CrewAI
- MCP
- Python
- FastAPI
- Kubernetes
- GKE
- CI/CD
- Model Inference
- Runtime Reliability
- MLOps