Software Developer | Backend Engineer | AI Engineering

I’m a Software Developer with ~3 years of experience building scalable backend systems, distributed applications, and AI-powered products.

I enjoy solving challenging engineering problems — from designing multi-tenant architectures and high-throughput data pipelines to building RAG, semantic search, and agentic AI workflows.

I’m not tied to a particular framework or language. I focus on understanding the problem, choosing the right tools, and building systems that are reliable, scalable, and maintainable.

• ⚙️ Backend Engineering — Python, Java, Django, Flask, Spring Boot, REST APIs & Microservices
• 🤖 AI Engineering — LangGraph, LangChain, RAG, Hybrid Search & AI-powered applications
• 🔍 Search & Retrieval — OpenSearch, Milvus, semantic search, reranking
• 📊 Large-Scale Data Systems — ClickHouse, Neo4j, Kafka & distributed data processing
• 🏢 Multi-Tenant Systems — tenant isolation, RBAC & organization-aware architectures
• ☁️ Cloud & Infrastructure — AWS, Docker, NGINX, Linux & CI/CD
• 🖥️ Full-Stack Development — React, Next.js, TypeScript & Tailwind CSS

Built an AI-powered investigation search system for querying criminal databases and FIR records using natural language.

• Built LangGraph-based query orchestration for structured and semantic retrieval workflows.
• Processed 5,000+ investigation queries through the orchestration layer.
• Integrated OpenSearch and Milvus for structured and semantic retrieval.
• Optimized semantic search over 600K+ FIR records.
• Implemented retrieval workflows for investigation-oriented search and analysis.

Built a tool-driven natural-language investigation workflow for analyzing telecom records.

• Enabled investigation across 1B+ telecom records.
• Dynamically invoked analytical tools based on natural-language queries.
• Built workflows for extracting insights from telecom and network metadata.

Designed backend systems for processing and analyzing large-scale intelligence data.

• Built a 100M+ record precomputation pipeline with historical backfills and recurring updates.
• Generated suspect-level aggregates in ClickHouse, reducing API latency by 50% by eliminating expensive runtime joins.
• Designed Neo4j graph models spanning 200M+ entities and 314M+ relationships.
• Exposed graph, linkage, and geospatial analytics through Django REST APIs.
• Designed a multi-tenant architecture supporting 4+ agencies with tenant isolation, RBAC, and tenant-aware request filtering.

Software Developer · Nov 2025 – Present

Working on scalable backend systems, intelligence platforms, and AI-powered applications involving large-scale data processing, search, graph analytics, and agentic workflows.

Software Engineer · Jun 2024 – Nov 2025

Worked on Spring Boot backend services for customer onboarding and compliance workflows.

• Built REST APIs for KYC, AML, and document verification.
• Integrated Kafka-based asynchronous workflows.
• Implemented idempotency and audit-tracking mechanisms.

Software Engineering Intern · Mar 2022 – Aug 2022

• Built Flask APIs and MongoDB backend services.
• Deployed applications on AWS.
• Developed 500+ PyTest unit tests.
• Built Airflow pipelines for automated MongoDB-to-S3 backups.

• 🧩 Solved 700+ DSA problems across LeetCode, GeeksforGeeks, and CodeChef.
• 🩸 Built and delivered a pro bono blood-donation management platform for an NGO.
• 👥 Platform supported 2,000+ active donors and 10–15 patients daily.