ROHITH SAPPA

Genai Developer

rohithsappa@gmail.com+919063459159Andhrapradesh, India

Summary

  • Computer Science undergraduate specializing in Generative AI, Machine Learning, and Large Language Models (LLMs), with hands-on experience building end-to-end AI applications including AI Agents, voice assistants, Retrieval-Augmented Generation (RAG) systems, and concept drift detection using Python, LangChain, LangGraph, OpenAI APIs, MCP, FastAPI, n8n, Pinecone, and ChromaDB. Skilled in prompt engineering, vector search, workflow automation, and LLMOps practices. Seeking an entry-level Generative AI, AI/ML, or Data Science role to
  • build scalable, real-world AI solutions.

Education

GITAM UNIVERSITY, B.Tech, Computer science and engineering
2022 - 2026

Visakhapatnam, IN, Grade: 7.23/10

Skills

• Programming Languages: Python, SQL, JavaScript, HTML and CSS., • Machine Learning & Data Science: Pandas, NumPy, Scikit-Learn, Seaborn, Matplotlib, PCA, Data Analysis, Data Visualization, SQLite., • Generative AI & LLMs: Prompt Engineering, RAG, AI Agents, Agentic AI, LangChain, LangGraph, OpenAI APIs (GPT-4o-mini, Whisper, Text-to-Speech), Speech Recognition, LLM Evaluation, Fine-tuning of models, Vector Databases (Pinecone, ChromaDB), LLMOps, Model, Context Protocol (MCP) and FastAPI., • Tools & Platforms: n8n, Hugging Face, AWS PartyRock, LangFuse, LangFlow, Airtable, Slack, Telegram, Cohere Rerank, Gradio, Streamlit, Git, GitHub, Netlify, Railway, Webhooks/API Integration, Google Colab and VS Code.

Projects

AI Voice Assistant with LLMs and Workflow Automation github.com/rohith1409
  • Developed an end-to-end AI voice assistant that captures microphone input, converts speech to text using OpenAI Whisper, generates
  • intelligent responses with GPT-4o-mini, and delivers natural voice output using OpenAI Text-to-Speech.
  • Built an automated AI workflow using n8n, integrating speech recognition, content moderation, weather information retrieval, and text
  • to-speech synthesis to provide accurate and context-aware responses.
  • Designed and deployed a browser-based application using HTML, CSS, and JavaScript, with the frontend hosted on Netlify and the
  • backend workflow deployed on Railway, enabling real-time voice interactions through production webhooks.
Regulatory Compliance Q&A System github.com/rohith1409
  • Built a validated RAG system to answer banking and healthcare regulatory queries with accurate, source-cited responses.
  • Developed an end-to-end AI workflow using n8n, Pinecone, Cohere Rerank, Airtable, and Telegram, applying LLMOps practices
  • throughout.
  • Implemented semantic chunking, multi-query retrieval, and confidence scoring, with human-in-the-loop validation to ensure reliable,
  • traceable compliance guidance.
Tracking Concept Drift in Continuous Data Streams github.com/rohith1409
  • Designed an adaptive AI system to detect and manage concept drift in evolving data streams using semantic retrieval and machine
  • learning techniques.
  • Built a scalable pipeline with Python, FastAPI, ChromaDB, SQLite, and Scikit-Learn, incorporating real-time monitoring and human-in-the
  • loop feedback.

Certifications

  • DATASCIENCE, CORIZO, 2024