AI engineer and researcher focused on agentic GenAI systems, RAG/LLMs, and scalable MLOps. Experienced with Web GIS dashboards, applied ML training, and production-ready systems.

I specialize in building intelligent systems that combine the power of language models with practical engineering practices. My work spans from research and development to production deployment and optimization.

Expertise

• Generative AI & LLMs: Building agentic systems, RAG pipelines, and LLM-powered applications
• MLOps & DevOps: CI/CD pipelines, containerization, cloud deployment (AWS, Docker, Kubernetes)
• Backend Engineering: REST APIs, microservices, production-grade systems
• Geospatial Technology: Web GIS, spatial data analysis, PostGIS
• Machine Learning: Deep learning, NLP, computer vision, model optimization

Education

• M.Tech / equivalent — Advanced coursework in machine learning, distributed systems, and data engineering (placeholder institution).
• B.Tech Computer Science — Foundation in algorithms, software engineering, and databases (placeholder institution).

Ongoing learning through industry certifications, conference workshops, and hands-on R&D on emerging LLM tooling.

Selected work themes

• Agentic workflows: Orchestrating tool-using agents with retrieval, guardrails, and observability.
• Production LLM services: Latency, cost, and reliability trade-offs in real deployments.
• Spatial + AI: Integrating geospatial pipelines with modern ML and GenAI backends.

Experience (summary)

I’ve worked with leading organizations on cutting-edge AI projects, mentored teams on ML best practices, and contributed to open-source initiatives. My focus is on building systems that are not just intelligent, but also reliable, scalable, and ethically sound.

Recent roles have emphasized lead engineering ownership: architecture decisions, code review, stakeholder communication, and mentoring junior engineers on GenAI and backend patterns.

Current focus

Currently exploring the intersection of agentic AI, human-centered design, and production systems. Passionate about making advanced AI accessible and practical for real-world applications.

Publications & talks (sample)

• Efficient Scaling of Agentic AI Systems in Production — internal tech report / preprint (2026, placeholder).
• Workshop session: MLOps for LLM Services — patterns for CI/CD and monitoring (2025, placeholder).
• Lightning talk: Web GIS + LLMs — practical integration notes (2024, placeholder).

Outside work

I enjoy reading systems design case studies, contributing to small open-source utilities, and experimenting with new Hugging Face and API releases in weekend prototypes.

Get in touch

For collaboration, speaking, or research inquiries, use the social links in the site footer or reach out by email. I’m always interested in thoughtful projects at the intersection of applied ML and solid engineering.