Saipraneeth
Software Engineer
Professional Summary
Results-driven Software Engineer with over 2 years of experience in designing and deploying advanced AI solutions, specializing in backend development with Python, REST APIs, and microservices architecture. Proven track record in building production-grade applications.
Technical Skills
Languages: Python,TypeScript,JavaScript,Java,C++,SQL,Bash scripting
Frameworks: FastAPI,Flask,React
Databases: PostgreSQL,SQLAlchemy
AI & ML: LLM Integration,Prompt Engineering,RAG,LangChain,scikit-learn,Pandas,NumPy
Tools & Systems: Git,GitHub,Linux,Docker,AWS,VS Code
Development Practices: Agile,CI/CD,REST API Design,Microservices,Unit Testing,System Design
Work Experience
Wells Fargo
GenAI Engineer
Jun 2024 – Aug 2025
Tech Stack: Python, LangChain, FastAPI
- Designed and deployed end-to-end Generative AI pipelines using Python, LangChain, and LLMs to automate knowledge retrieval workflows, improving customer support efficiency by 25%.
- Built and optimized Retrieval Augmented Generation (RAG) systems, enhancing accuracy of context-aware responses from large-scale internal knowledge bases by 40%.
- Implemented REST APIs to connect Generative AI capabilities into enterprise applications, ensuring seamless interoperability across business systems.
- Delivered monitored and debugged LLM behavior in production environments, decreasing hallucination patterns by 30% through systematic evaluations.
UMKC
IT Assistant
Dec 2024 – May 2026
Tech Stack: Technical Knowledge Base, Hardware/Software Tools
- Delivered triaged and resolved technical failures at over 50 university events, maintaining operational continuity and reducing downtime by 20%.
- Built and maintained a shared technical knowledge base, improving team-wide response efficiency by 15%.
- Delivered served as primary technical contact, effectively communicating issue status to students and faculty.
Cisco India
AI Engineer
May 2023 – May 2024
Tech Stack: scikit-learn, Pandas, SQL
- Engineered classification models using scikit-learn, improving data processing efficiency by 35%.
- Automated data preprocessing workflows, reducing manual analysis time by 30% across multiple projects.
- Developed reusable Python automation scripts that enhanced data pipeline reliability, ensuring production readiness.
Projects
PulseBoard: Real-Time API Health Monitor
Tools Used: Node.js, Express, React, Socket.io, PostgreSQL
- Built and deployed a real-time API monitoring dashboard, reducing response time detection latency by 50%.
- Integrated Groq API with LLaMA 3.3 to analyze ping history, enhancing diagnostic capabilities.
SportIQ: NBA Intelligence Platform
Tools Used: scikit-learn, Pandas, FastAPI
- Designed a complete MLOps pipeline achieving 4.4 MAE on unseen data through continuous model optimization.
- Engineered a production FastAPI backend with seven RESTful microservice endpoints, streamlining data service delivery.
APIForge: AI Powered REST API Generator
Tools Used: FastAPI, LLaMA 3.3, Groq API
- Developed an AI agent that converts plain English descriptions into production-ready REST APIs, reducing API setup time by 70%.
- Implemented an interactive frontend that improves developer experience through syntax highlighting and real-time visualization.
Education
University of Missouri, Kansas City
Bachelor of Science, Computer Science • Aug 2024 – May 2026
Certifications
Cloud Computing with AWS • Jun 2023
Microsoft Azure AI Apps and Agents Developer Associate • In Progress
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