VAMSI PUTTEPU

AI Engineer | Machine Learning Specialist | Web Developer
Email: vamsiv980@gmail.com | Phone: +91 6301320060
LinkedIn: linkedin.com/in/vamsi-puttepu | GitHub: github.com/vamsi-op | Portfolio: vamsiputtepu.in

PROFESSIONAL SUMMARY

Motivated Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning at ANITS. Passionate about full stack development, cloud operations, and machine learning with hands-on experience through internships at IBM SkillsBuild (Edunet Foundation). Proven track record in competitive programming, hackathons, and leadership roles. Proficient in Python, Django, Flask, and modern web technologies with strong foundation in data structures and algorithms.

EDUCATION

Bachelor of Technology - Computer Science Engineering (AI & ML)
2023 - 2027
Anil Neerukonda Institute of Technology and Sciences (ANITS) | Visakhapatnam, India

CGPA: 8.5/10 | Expected Graduation: 2027

Intermediate (MPC)
2021 - 2023
Sri Chaitanya Junior College of Education
Percentage: 96%

EXPERIENCE

AI & Cloud Intern
Jun 2025 - Jul 2025
Edunet Foundation (IBM SkillsBuild Program) | Remote
  • Completed intensive virtual internship focusing on AI and cloud computing technologies
  • Developed Nutrition Agent using IBM Watsonx AI for personalized dietary recommendations
  • Gained hands-on experience with IBM Watson, cloud deployment, and AI-based automation tools
Event Organizer - CodeClash & Rapid Fire
College Events
Anil Neerukonda Institute of Technology and Sciences (ANITS) | Visakhapatnam
  • Organized and conducted "CodeClash" competitive coding event, managing platform setup, challenges, and participants
  • Successfully executed Rapid Fire Event testing technical knowledge, quick thinking, and confidence under time pressure
  • Coordinated with technical teams and managed event logistics ensuring smooth execution and participant engagement

TECHNICAL SKILLS

Programming Languages

C++, Python, Java, JavaScript, SQL

Web Technologies

Django, Flask, React, REST APIs, Web Stack, Bootstrap

AI/ML Tools

Machine Learning, Scikit-learn, LIME, Pandas, Numpy, TensorFlow

Cloud & DevOps

Google Cloud Platform, IBM Cloud, Kubernetes, Docker, CI/CD

Tools & Technologies

Git, GitHub, Linux, Fusion 360, AutoCAD, Looker Studio

KEY PROJECTS

Automated Research Assistant

FastAPI, LangChain, Qdrant, Python, Docker | RAG System

  • Developed production-grade RAG system that processes academic PDFs and provides AI-powered research capabilities
  • Implemented semantic search, Q&A with source citations, paper summarization, and literature review generation
  • Deployed on Hugging Face Spaces with live demo at https://vamsi-op-automated-research-assistant.hf.space/

Content Quality Audit Tool

Next.js, React, AI/ML, TypeScript | Web Application

  • Developed AI-powered content analysis tool evaluating content across 5 key quality dimensions
  • Implemented dual-mode analysis supporting both direct text input and URL-based content extraction
  • Integrated keyword optimization features with comprehensive quality scoring and actionable insights

Pocket Data Visualizer

React, Chart.js, Apache ECharts, PapaParse, Vite, PWA

  • Built privacy-first, in-browser CSV data visualizer that automatically infers column types and suggests optimal chart types
  • Implemented live interactive previews with comprehensive data processing capabilities entirely on the client-side
  • Developed as PWA with Vite for fast performance; deployed at https://data-visualizer-blush.vercel.app/

SteelML - Material Property Predictor

Python, Streamlit, Scikit-learn, ML | Data Science Application

  • Developed machine learning application for predicting steel material properties using advanced regression models
  • Built interactive Streamlit interface for real-time predictions based on material composition and processing parameters
  • Implemented data visualization and model performance tracking for material science applications

Nutrition Agent

IBM Watsonx, Python, AI/ML, Cloud | IBM Internship Project

  • Developed intelligent nutrition assistant using IBM Watsonx AI
  • Implemented personalized dietary recommendations and nutritional insights
  • Applied AI-based automation for health-focused user interactions

Multi-Agent Financial Analyst

Python, LangGraph, Groq API, FAISS, SentenceTransformers, Streamlit, Docker | Hugging Face Spaces

  • Built AI-powered earnings report analyzer using a LangGraph multi-agent architecture (KPI, Risk, Summary, and QoQ Comparison agents) with typed Pydantic state models
  • Implemented hybrid regex + LLM KPI extraction, deterministic risk scoring (0–100) across 6 weighted factors, and RAG pipeline using FAISS + SentenceTransformers for context-aware analysis
  • Deployed on Hugging Face Spaces via Docker with a Streamlit glassmorphism dashboard featuring Plotly charts; powered by free Groq API (llama-3.1-8b-instant) — no GPU required

ACHIEVEMENTS & CERTIFICATIONS