Member profile

Ashish Kumar Savarn

AI/ML Engineer
AI/ML Engineer

AI/ML Engineer | Python Developer | Machine Learning Enthusiast

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About

Computer Science undergraduate with strong foundations in Machine Learning, Deep Learning, Data Structures & Algorithms, DBMS, Operating Systems, and Computer Networks. Proficient in Python, TensorFlow, Scikit-learn, FastAPI, SQL, and Generative AI. Experienced in building AI-powered applications involving predictive modeling, Explainable AI (SHAP), NLP, data preprocessing, feature engineering, model training, model evaluation, hyperparameter tuning, and REST APIs. Passionate about developing intelligent systems and solving real-world problems using AI.

Education

Bachelor of Engineering

Acharya Institute of Technology, Bangalore (VTU)

Computer Science · 2023 – 2027 · CGPA: 7.8/10

Class XII

SGVP International School, Ahmedabad

2021 – 2023 · 68%

Class X

ST. Paul Sr. Sec International School

2020 – 2021 · 62%

Projects

GroundedGPT — Production-Grade RAG System

Built a production-oriented Retrieval-Augmented Generation (RAG) system that enables LLMs to answer questions using retrieved information from user-provided documents. Implemented document chunking, semantic embeddings, vector search with ChromaDB, hybrid retrieval using BM25, optional reranking, and context-grounded LLM generation with citations. Developed the backend using FastAPI and integrated Ragas-based evaluation to measure answer faithfulness and relevance.

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Personalized Diabetes Management Platform

Built an AI-powered diabetes prediction system using TensorFlow, XGBoost, and Scikit-learn. Performed data preprocessing, feature engineering, model training, evaluation, and hyperparameter tuning. Implemented SHAP Explainable AI for transparency. Designed FastAPI REST APIs for prediction, authentication, and food image analysis. Integrated PostgreSQL for secure patient data management. Developed a Flutter frontend for real-time health monitoring.

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AI Mock Interview Web Application

Developed an AI-powered mock interview platform using Gemini API, Large Language Models (LLMs), and Prompt Engineering. Implemented Natural Language Processing (NLP) for intelligent response evaluation and personalized AI feedback. Built FastAPI REST APIs for interview generation, response analysis, and user management. Integrated PostgreSQL for secure interview history and analytics. Developed a responsive interface supporting multiple interview domains and AI-assisted learning.

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AI Wireless Network Monitor

Developed an AI-powered wireless network monitoring application for real-time packet analysis and protocol monitoring. Built an ML-based anomaly detection model using Scikit-learn for classification of abnormal network traffic. Applied data preprocessing, feature extraction, model training, and evaluation to improve anomaly detection accuracy. Designed FastAPI REST APIs with SQLite for efficient packet storage and retrieval. Built interactive dashboards using Recharts for real-time visualization of network activity.

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Certifications

Machine Learning & AI Foundations: Prediction, Causation, and Statistical Inference

LinkedIn Learning

2026-01-01

Introduction to Enterprise Cloud Migration Planning

LinkedIn Learning

2026-01-01

Foundations: Data, Data, Everywhere

Google Career Certificates | Coursera

2024-01-01

Programming in C

Infosys Springboard

2023-01-01

Achievements

LeetCode Problem Solving

Technical Skill

Solved 150+ Data Structures & Algorithms problems on LeetCode.

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ISRO Bharatiya Antariksh Hackathon 2026

Competition

2026-01-01

Developed AI-based solutions for Cross-Modal Satellite Image Retrieval.

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Samsung Ideathon 2026

Competition

2026-01-01

Developed AI-based solutions for real-world problem statements.

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