Summary
Overview
Work History
Education
Skills
Websites
Certification
Achievements Leadership
Projects
Timeline
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Unnati Pandit

Unnati Pandit

Jaipur,RJ

Summary

IT graduate with strong foundations in software development and a hands-on focus on AI/ML - spanning deep learning, RAG pipelines, and REST API engineering. Completed internships at Shell Edunet (AICTE) and IBM SkillsBuild; selected for Amazon ML Summer School 2025. Open to SDE and AI/ML roles where I can build reliable, scalable software.

Overview

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1
Certification

Work History

AI/ML Intern

Shell Edunet Foundation
08.2025 - 10.2025
  • Built end-to-end ML pipelines with scikit-learn and TensorFlow; applied cross-validation techniques that improved model generalisation and reduced overfitting on tabular datasets.
  • Designed automated data quality checks and preprocessing pipelines, improving reproducibility and cutting training overhead across multiple experiments.
  • Drove model evaluation benchmarking across accuracy, precision, recall, and F1-score; documented results for cross-functional stakeholder review.
  • AICTE - Skill4Future

AI/ML Intern

IBM SkillsBuild
08.2025 - 09.2025
  • Delivered hands-on AI/ML projects on IBM Cloud covering NLP, predictive analytics, and data pipelines using Watson AI services and Watson Studio.
  • Deployed AI applications on cloud infrastructure; gained enterprise exposure to model lifecycle management and scalable ML workflows.

Education

B.Tech - Information Technology

Manipal University Jaipur
01.2023

Skills

  • Python
  • SQL
  • JavaScript
  • Java
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • XGBoost
  • LangChain
  • FAISS
  • Sentence Transformers
  • Pandas
  • NumPy
  • Azure ML
  • IBM Cloud
  • AWS SageMaker
  • Docker
  • Git
  • FastAPI
  • Flask
  • Streamlit
  • Figma

Certification

  • Azure AI Fundamentals, Microsoft, 2026-05-01
  • Claude Code 101 & AI Fluency, Anthropic, 2026-05-01
  • RHCSA OpenStack, Red Hat, 2025-04-01

Achievements Leadership

  • Amazon ML Summer School 2025 - Competitively selected for national Girl Leading Tech Cohort; advanced training in Deep Learning, Model Evaluation, and AWS SageMaker with Amazon engineers.
  • Mentorship & Community: SheCanCode Mentor (2025-07-01); GirlScript Summer of Code 2025 - Campus Ambassador & Mentor; Google Women Techmakers Member (2024-01-01-Present); SheFi Scholar Season 14 - global Web3/DeFi cohort.

Projects

  • DDoS Detection: Autoencoder + Random Forest Hybrid, Python, TensorFlow, Scikit-learn, Pandas, 2026-04-01, Designed hybrid deep learning system combining autoencoders (60% dimensionality reduction) with Random Forest on CIC-DDoS2019 dataset, achieving 98.4% standalone and 99% hybrid accuracy., Built full training-to-evaluation pipeline with reproducible benchmarking and detailed performance reporting.
  • PDF Q&A System (RAG + LLMs), Python, LangChain, FAISS, OpenAI API, Sentence Transformers, Streamlit, 2026-02-01, Architected production RAG pipeline with FAISS vector store and LLM integration for natural language queries over PDFs; achieved sub-second retrieval with hallucination-reduced, cited answers.
  • AI Phishing & Malicious URL Detection, Python, XGBoost, Scikit-learn, Flask, REST API, 2025-11-01, Engineered 30+ URL features; trained XGBoost classifier at 96%+ accuracy, deployed as Flask REST API with sub-100ms inference latency for real-time threat classification at scale.
  • Smart Health Monitoring API, Python, FastAPI, MQTT, IoT Sensors, JWT, Docker, 2025-01-01, Architected MQTT-based IoT REST API with JWT authentication and threshold-driven clinical alerting for real-time patient vitals; containerised with Docker for reproducible, portable deployment.

Timeline

AI/ML Intern

Shell Edunet Foundation
08.2025 - 10.2025

AI/ML Intern

IBM SkillsBuild
08.2025 - 09.2025

B.Tech - Information Technology

Manipal University Jaipur
Unnati Pandit