Nitesh

AI/ML Engineer · Generative AI & LLMs · Python & Backend Engineering

Hyderabad, Telangana, India

@niteshh

0 followers

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

2026

B.Tech

Nalla Malla Reddy Engineering College

Artificial Intelligence & Machine Learning · 2022 – 2026

Artificial Intelligence & Machine Learning · 2022 – 2026

Skills

<3 months

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

Tools / apps / platforms

<3 months

Git Docker ChromaDB PostgreSQL

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.

Explore the Broxer community

💬 Q&A Ask about roles, salaries and interviews — and help others. 👥 Circles Join discussions on skills, companies and industries. 📰 Feed Follow updates and insights from the community.