Agentic products
Natural-language systems that inspect evidence, propose actions, create editable drafts, and keep humans in control.
FULL-STACK ENGINEER / AI PRODUCTS
I build production AI systems that turn complex data into controlled, useful action.
Full-stack developer focused on agentic AI, distributed backends, and customer-facing products. I own systems end to end - from APIs, queues, databases, and model orchestration to the interfaces people use to make decisions.
Natural-language systems that inspect evidence, propose actions, create editable drafts, and keep humans in control.
Features carried from schema and API design through queues, integrations, React workflows, deployment, and production support.
Fast, reliable software built around real limits: large datasets, small GPUs, external APIs, and multi-tenant infrastructure.
Four roles spanning production AI products, applied machine learning, infrastructure, and measurable customer outcomes.
Own AI-powered marketing systems across paid growth, SEO/GEO, and conversion optimization from backend architecture through customer-facing workflows.
Cynapto Technologies
Worked on audiovisual synchronization and neural rendering pipelines under constrained compute.
KrossWork Solutions
Built applied NLP and backend systems for call auditing, classification, and customer segmentation.
Prabha Enterprises
Applied machine learning to delivery forecasting, inventory planning, visual inspection, and supply-chain risk.
Six projects across large-scale data, constrained inference, explainable AI, knowledge graphs, computer vision, and agentic execution.
Approximate query processing at 100M+ record scale
Architected an approximate query-processing engine that avoids full scans by using probabilistic stream sampling with measurable accuracy bounds.
Domain AI inference on constrained GPU memory
Built an end-to-end domain-specific assistant spanning data preparation, model fine-tuning, optimized inference, and real-time streamed responses.
Explainable deep-learning market pattern engine
Combined TensorFlow and PyTorch pattern recognition with SHAP-based explainability to reduce false positives and make model decisions inspectable.
Graph-RAG engine grounded in Ayurvedic knowledge
Created a grounded retrieval system with LangChain and Neo4j Aura over a structured knowledge graph of more than 1,000 herbs.
Species classification and fishery yield optimization
Delivered a MobileNetV3 classifier behind FastAPI and connected real-time weather signals to a PostgreSQL-backed yield optimization workflow.
Simulation-first agentic tooling for EVM workflows
Orchestrated autonomous contract workflows with Web3.js and REST APIs while using controller-led simulation as a safety boundary.
From DNS and TLS at the edge to queues, model APIs, databases, and the product interface.
Algorithms sharpen implementation. Systems thinking makes the implementation useful in production.
Ranked among 2,700+ submissions
Peak rating of 1669
Recognized among top Software Engineer candidates
Qualified twice in the national examination
Data structures, algorithms, and system design
Bachelor of Technology in Computer Science and Engineering