Software Engineer Associate

Vinnakota Hema Kasi Sainath

+91-913******* *************@*****.*** LinkedIn GitHub

Hyderabad, India

Professional Summary

Results-driven Python + GenAI Developer with around 3 years of experience designing and developing scalable backend systems. Strong expertise in RESTful API design, SQL/NoSQL databases, and microservices architecture. Adept at collaborating in Agile environments and integrating AI/ML solutions. Recognized for delivering high-quality code and driving project success across global teams. Technical Skills

• Programming Languages: Python (Async/Sync)

• Frameworks: FastAPI, Streamlit

• Databases & Libraries: PostgreSQL, MySQL, SQLAlchemy, SQLModel, Pydantic, Pytest, asyncio

• Containerization & Orchestration: Docker

• Task Queues: Celery, FastAPI Background Tasks

• AI/ML Tools: LangChain, AGNO, RAGAS, AI Agents,RAG, LLMs

• Tools: Git, JIRA, Postman, PgAdmin, DBeaver

Professional Experience

Associate Software Engineer Dec 2022 – Present

Smart IMS Hyderabad

• Designed and developed RESTful APIs using FastAPI to enhance communication between front-end and back-end systems for enterprise healthcare applications.

• Implemented async APIs for improved performance and scalability.

• Created API documentation and contributed to internal developer guides.

• Collaborated with cross-functional teams to gather and implement requirements, ensuring alignment with project goals in Agile sprints.

• Conducted code reviews and provided guidance to team members to maintain code quality and adherence to best practices.

• Utilized Celery Tasks and FastAPI Background Tasks for larger workflows. Intern Jun 2022 – Nov 2022

Smart IMS Hyderabad

• Created backend services using FastAPI with Pydantic models and SQLAlchemy.

• Performed API testing (GET, POST, PUT, DELETE) with Postman.

• Practiced version control with Git and participated in code reviews. 1

Projects

Xymphony AI (Agent Development Platform)

• Developed a scalable backend using FastAPI and Python to integrate multiple LLM providers (OpenAI, Google, Anthropic) via a unified API interface.

• Implemented a modular agent architecture supporting custom tools and knowledge retrieval, allowing for dynamic RAG capabilities.

• Built an evaluation system using RAGAS and custom metrics to improve agent and RAG performance across different use cases.

• Containerized the system with Docker and set up CI/CD pipelines for efficient deployment. Clinical Trial Management System (CTMS)

• Designed and developed a system to streamline the planning, tracking, and management of clinical trials.

• Integrated with Electronic Data Capture (EDC) systems (ETMF and ISF) for secure document storage and trial data collection using microservices architecture.

• Implemented version control for trial protocols and forms, ensuring data integrity and compliance. Sample Management System (SMS)

• Built a system to efficiently store, track, and manage blood and tissue samples, improving laboratory workflow.

• Leveraged microservices architecture for enhanced performance and scalability.

• Implemented secure document storage to ensure data confidentiality and compliance. AI-Powered Document Retrieval System

• Built a document retrieval system using LangChain and RAG to enhance search capabilities by integrating external knowledge sources.

• Leveraged Ollama for deploying and managing language models, ensuring efficient performance and scalability. YouTube Video Analyzer

• Developed a comprehensive tool to analyze YouTube videos by extracting metadata, comments, and engagement metrics to provide insights on video performance and audience behavior.

• Implemented data scraping, processing, and enable content creators to optimize their video strategies. Education

Bachelor of Technology Jun 2019 – Apr 2022

DMS SVH College of Engineering, Machilipatnam CGPA: 7.58/10 Certifications & Achievements

• Extra Miler Award: Recognized for exceptional dedication at Smart IMS.

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