BONU SAI KIRAN
Visakhapatnam
Summary
Dynamic software engineer with a proven track record at Phenom People, specializing in Python and Generative AI. Expert in developing RESTful APIs and deploying applications using Docker. Adept at collaborating in Agile teams, driving innovation, and enhancing system performance through test-driven development and effective communication.
Overview
3
3
years of professional experience
Work History
Backend Developer
Phenom People
Hyderabad
2023.05 - Current
- Developed and maintained scalable backend applications using Python, with hands-on expertise in Flask and FastAPI, designing secure and high-performance RESTful APIs within microservices architecture.
- Implemented CI/CD pipelines and followed Test-Driven Development (TDD) practices to ensure high code quality, automated testing, and reliable deployments.
- Enhanced application performance and system reliability through efficient coding practices and real-time monitoring, resulting in improved system uptime.
- Resolved technical issues promptly, minimizing downtime and maintaining operational efficiency for seamless user experience.
- Collaborated in Agile/Scrum environments, participating in sprint planning and code reviews to streamline project delivery and ensure alignment across teams.
- Designed and implemented Retrieval-Augmented Generation (RAG) pipelines integrating vector databases, document embeddings, and semantic search to enhance LLM accuracy and domain-specific performance.
- Built and deployed intelligent conversational AI systems leveraging RASA, LangChain, and modern LLM frameworks, applying advanced NLP techniques for context-aware and dynamic responses.
Education
Bachelor of Technology - Information Technology
ANDHRA UNIVERSITY COLLEGE OF ENGINEERING
Visakhapatnam, Andhra Pradesh2023-04
Higher Secondary School Certificate -
SRI CHAITANYA JUNIOR COLLEGE
Visakhapatnam, Andhra pradesh2019-06
Secondary School Certificate -
VARALAKSHMI ST'ANN'S SCHOOL
Srikakulam, Andhra Pradesh2017-06
Skills
- Python
- Generative AI
- Langchain
- Flask
- FastAPI
- RESTful APIs
- MongoDB
- Elasticsearch
- Docker
- Git
- Postman
- CI/CD
- Test-driven development
- Agile methodologies
- Object-Oriented Programming (OOP)
- Language models and Embedding models
- NLP
Accomplishments
- Secured 93.9 percentile in JEE Mains (2019)
- Ranked 12,357 out of over 2 lakh candidates in EAMCET 2019
Projects
- RAG Document Q&A System, Full-Stack AI-Powered Application enabling intelligent question-answering over uploaded documents with real-time semantic search. Architected RESTful backend with FastAPI handling document ingestion, vector storage, and query processing; implemented Elasticsearch integration with 768-dimensional BGE embeddings for semantic retrieval. Designed advanced hybrid retrieval system combining BM25 keyword search and vector similarity using Reciprocal Rank Fusion (RRF) algorithm, integrated cross-encoder reranking for improved precision. Built LangChain RAG pipeline orchestrating document processing (PDF/DOCX/TXT/MD), text chunking with tiktoken, embedding generation, and OpenAI GPT integration. Developed session management API with isolated document namespaces, secure file upload endpoints with validation, and token usage tracking. Implemented React-based frontend with drag-and-drop interface for dynamic document uploads. Deployed microservices architecture with Docker-containerized Elasticsearch, CORS-enabled API endpoints, and comprehensive error handling throughout the data pipeline. Project demonstrated production-grade AI application design with advanced NLP techniques, vector databases, and scalable backend architecture.
Timeline
Backend Developer
Phenom People
2023.05 - Current
Bachelor of Technology - Information Technology
ANDHRA UNIVERSITY COLLEGE OF ENGINEERING
Higher Secondary School Certificate -
SRI CHAITANYA JUNIOR COLLEGE
Secondary School Certificate -
VARALAKSHMI ST'ANN'S SCHOOL