About Me
Software Engineer with 4+ years of experience designing scalable REST APIs, AI-powered applications, and high-performance backend systems. Proficient in Python, FastAPI, Django, and Flask, with hands-on expertise in LLM …
Software Engineer with 4+ years of experience designing scalable REST APIs, AI-powered applications, and high-performance backend systems. Proficient in Python, FastAPI, Django, and Flask, with hands-on expertise in LLM integration, RAG pipelines, prompt engineering, and document processing using Llama 2. Experienced in deploying applications on AWS with Docker and CI/CD pipelines. Skilled in building domain-specific AI solutions and optimizing PostgreSQL databases for production-grade telecom and AI applications.
Experience
Software Development Engineer
<p>Implemented text extraction (PDF/DOCX) and chunking for large document handling</p><p> Built an AI-powered legal document summarization system using Llama 2 (via Ollama)</p><p> Developed backend APIs using FastAPI for document upload and processing</p><p> Designed prompt-based summarization to generate executive summaries, obligations, and risk insights</p><p> Integrated LLM inference pipeline for real-time legal document analysis</p><p> Improved processing efficiency by handling large inputs using chunk-based aggregation</p><p> Architected RESTful APIs for device management, data ingestion, and protocol translation across multiple telecom standards</p><p> Delivered JWT-based authentication and certificate management ensuring secure device communication across network protocols</p><p> Designed a scalable PostgreSQL schema for persistent storage of device telemetry, events, and platform metadata with fast query response</p><p> Built a React dashboard for real-time device status visualization, improving operational team response efficiency</p><p> Led development of a modular backend framework adopted across multiple internal projects, reducing new project setup time</p><p> Built REST APIs using Flask and Django enabling seamless frontend-backend communication across mobile, desktop, and web platforms</p><p> Reduced API response time through backend logic refactoring and targeted PostgreSQL query optimization</p><p> Owned end-to-end development of a UCG bridging multiple network generations (2G–5G) across vendor-specific implementations</p><p> Engineered a JSON-based translation layer enabling reliable data format conversion between disparate telecom systems</p><p> Standardized vendor interfaces enabling plug-and-play interoperability without custom code per integration</p><p> Hardened platform security with OpenSSL encryption and JWT authentication to safeguard data integrity across production environments</p>
PROJECTS
AI project legal documents summarization
<p>I worked on an AI-powered Legal Document Summarizer that automatically analyzes legal documents and generates concise summaries. The main objective was to reduce the time required to understand lengthy legal documents.</p><p>I developed the backend using Python and FastAPI. We used Llama 2 through Ollama for document summarization and implemented a RAG pipeline to retrieve relevant information from the uploaded documents.</p><p>The document was first processed and divided into smaller chunks. We generated embeddings for these chunks and stored them in a vector database such as FAISS. When a user asks a question or requests a summary, the system retrieves the most relevant chunks and sends them as context to the LLM.</p><p>I worked on the document processing, API development, RAG workflow, prompt engineering, and integration. We also provided a React-based UI where users could upload documents, generate summaries, and download the output as a PDF.</p><p>The technologies used were Python, FastAPI, Llama 2, Ollama, RAG, embeddings, FAISS, React, SQLite, and REST APIs.</p>