Senior Java Engineer with 3+ years in Backend Development & AI/ML Integrations
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Backend-focused SDE with 3+ years building distributed, high-throughput systems at enterprise scale. Proven delivery across event-driven architectures (Kafka, SQS), AI/LLM integrations, and microservice migrations serving 500K+ daily active users. Targeting SDE-2 roles where backend depth, system design ownership, and measurable performance impact matter.
Jaypee Institute of Information Technology
B.Tech · Computer Science & Engineering
N/A – June 30, 2023
Darwinbox
Software Development Engineer - 2
February 1, 2023 – Present
India
Fashinza
Software Engineering Intern
June 1, 2022 – August 1, 2022
India
Enterprise RAG Platform
June 19, 2026 – Present
Built a scalable document intelligence backend using RAG - ingesting PDFs via an async processing pipeline, generating 768-dim vector embeddings, and serving semantic search via pgvector cosine similarity over a 100K+ document corpus. Designed a two-level Redis caching strategy for query answers and embeddings, reducing repeated query latency from ~3,000ms to 6ms (99.8% improvement); added SSE streaming for real-time token delivery. Instrumented with health checks and a metrics endpoint tracking cache hit rate, request latency, and token usage; containerized full stack with Docker Compose for one-command local deployment.
View ProjectLocation-Aware Marketplace Platform
June 19, 2026 – Present
Architected a full-stack marketplace platform supporting location-based discovery using MongoDB geospatial indexing, real-time messaging via Socket.io, and asynchronous email notification workflows. Built secure backend APIs with JWT authentication, role-based authorization, and AWS S3 integration; achieved sub-100ms search latency on multiple listings via query optimization and indexing.
View ProjectWeb Development Bootcamp
Unknown
June 1, 2026 – Present
Explore ML Track
Unknown
June 1, 2026 – Present
AI Hackathon Darwinbox – Winner
Darwinbox
June 1, 2026 – Present
Google Cloud Program – Intermediate
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including personal projects and contributions to enterprise-level systems, indicates a strong passion for technology and continuous learning. Their involvement in an AI Hackathon and Google Cloud Program further supports a proactive and innovative mindset. The experience in Agile squads and mentoring junior engineers suggests a good fit for collaborative team environments. The breadth of skills across backend, frontend, and cloud technologies shows adaptability and a willingness to tackle various challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through performance optimization and system architecture. Their experience in leading monolith-to-microservice migration and introducing a unit testing framework indicates initiative and a focus on operational excellence. Mentoring junior engineers suggests leadership potential and a collaborative mindset. The detailed project descriptions highlight a results-oriented approach with measurable impact.