Nitesh

About

AI/ML Engineer specializing in generative AI, applied machine learning, and backend engineering with Python. Built RAG-based chatbots, tuned predictive models, and is currently applying computer vision and deep learning in an AI internship while expanding into agentic AI.

Experience

• AI Intern
  XTRAGRAD Pvt. Ltd.
  Sep 2026 – Present
• Software Testing Intern
  EduRankAI
  2026 – 2026
• Data Analytics Virtual Experience (Simulation)
  Deloitte / Forage
  Sep 2025 – Oct 2025
• AI/ML Data Analytics Job Simulation
  Tata Group / Forage
  Sep 2025 – 2025

Education

• B.Tech
  Nalla Malla Reddy Engineering College
  Artificial Intelligence & Machine Learning · 2022 – 2026

Skills

• SQL <3 months
• Deep Learning <3 months
• FastAPI <3 months
• Python <3 months
• Prompt Engineering <3 months
• Java <3 months
• Feature Engineering <3 months
• Matplotlib <3 months
• Model Evaluation <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• Flask <3 months
• Seaborn <3 months
• LangChain <3 months
• Random Forest <3 months
• API Integration Understanding <3 months
• RAG <3 months
• LangGraph <3 months
• XGBoost <3 months
• SQLAlchemy <3 months
• JWT Authentication <3 months
• Gradient Boosting <3 months
• Agentic AI Systems <3 months
• Llama <3 months
• Cross Validation <3 months
• Vector embeddings <3 months

Tools / apps / platforms

• ChromaDB <3 months
• Docker <3 months
• Git <3 months
• PostgreSQL <3 months

Projects

• Student Placement Prediction Dashboard
  Python, Random Forest, Scikit-learn, Streamlit, 5-Fold CV

  Trained a 5-fold cross-validated Random Forest classifier on 2,500+ student records, reaching ~82% placement-prediction accuracy; deployed as an interactive Streamlit dashboard.

• JobPilot — Agentic AI Job Search & Application Assistant
  Python, FastAPI, Groq API, Llama 3.3 70B, PostgreSQL, SQLAlchemy, LangChain/LangGraph

  Architected the backend foundation for an agentic job-search assistant powered by Groq-hosted Llama 3.3 70B with PostgreSQL/SQLAlchemy persistence. Developing agent orchestration, tool-calling, and a human-approval workflow with LangChain/LangGraph.

• AI Smart Irrigation System with Weather-Aware Crop Guidance
  Python, XGBoost, Random Forest, GridSearchCV, 5-Fold CV, PostgreSQL, FastAPI

  Trained and tuned an XGBoost crop-prediction model on 10,000+ sensor readings using GridSearchCV and 5-fold cross-validation, reaching ~90% accuracy; built a weather-aware crop-advisory module on FastAPI and PostgreSQL that ingests live weather data to generate irrigation guidance.

• AI Chatbot with Personality
  LLM, RAG, ChromaDB, Whisper STT, FastAPI, Docker, JWT

  Designed a ChromaDB-based RAG pipeline, benchmarking retrieval quality against a keyword-based baseline; built and secured 5 REST endpoints with FastAPI and JWT, containerized with Docker. Integrated OpenAI Whisper for speech-to-text and engineered persona-driven prompts to sustain coherent personality across multi-turn conversations.

Courses & certifications

• Generative Models for Developers · Infosys Springboard · 2026
• Introduction to Generative AI Studio · Google Cloud · 2025

⚽ Extracurricular activities

• AI Tryouts

  Independent AI & technology content platform with 34K+ followers; plans, creates, and publishes content on AI, education, and freelancing, driving audience growth and engagement.