Software Engineer specializing in backend systems, distributed architectures, and AI-powered applications. Experienced in designing microservices, building scalable APIs, and deploying cloud-native systems using Docker a…
Software Engineer specializing in backend systems, distributed architectures, and AI-powered applications. Experienced in designing microservices, building scalable APIs, and deploying cloud-native systems using Docker and Kubernetes. Strong background in Python and C++ with solid foundations in data structures, algorithms, and Linux systems. Built production-ready applications including RAG platforms, agent systems, and distributed media pipelines. Passionate about building reliable, high-performance systems and learning new technologies.
Ongoing work on conditioning mechanisms and noise schedules to improve generation fidelity and controllability., Working on data curation, 3D docking, and property-constrained training to surpass existing state-of-the-art approaches., Redesigned the CIGIN architecture by replacing Set2Set pooling with multi-head global attention and Graph Transformer layers to improve long-range molecular interaction modeling.
Implement and modify deep learning modules, debug training issues, and improve documentation and usability.
Collaborate with distributed developer communities through issue triage, pull requests, and code reviews.
Designed image-based recommendation system using EfficientNet and FAISS, improving search accuracy by 10%., Optimized inference latency from 5s to 2s through parallel processing and model quantization techniques., Integrated AI solutions with enterprise architecture for seamless deployment serving 500+ daily active users.
•Developed a full-stack web application enabling semantic search and AI-generated answers over user documents.•Implemented hybrid search (BM25 + vector embeddings) with Reciprocal Rank Fusion for improved retrieval accuracy.•Built backend services using FastAPI with REST APIs, asynchronous document processing, and JWT-based authentication Bcrypt hashing, and PostgreSQL-based data isolation.•Deployed containerized services on AWS EC2 using Docker, enabling scalable document ingestion pipelines.
•Engineered an autonomous multi-agent system to aggregate and rank technical content using OpenAI GPT-4 and Chain-of-Thought reasoning.•Built a Curator Agent with Pydantic structured outputs to score article relevance (0-10) against dynamic user profiles, ensuring type-safe decision logic.•Developed a RAG-ready ingestion pipeline using Docling and Feedparser to convert unstructured video transcripts and HTML into clean Markdown for processing.•Orchestrated daily automated workflows using a custom scheduler to manage scrape-process-email pipelines, reducing information overload.
•Architected a distributed microservices system for asynchronous video processing using RabbitMQ message queues and containerized worker services.•Designed queue-based backpressure and worker scaling to prevent system overload under high job throughput.•Implemented a gateway API service with JWT authentication, secure file uploads, and request validation.•Built worker services to consume jobs, process media conversions, and store outputs in MongoDB GridFS.•Deployed the platform on Docker + Kubernetes, using ConfigMaps, Secrets, and rolling updates for reliability
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