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Software Engineer (AI-ML)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AutoAssist-RAG-Tesla-Model-Y-Knowledge-Assistant
January 1, 2026 – Present
A Retrieval-Augmented Generation system that answers safety, maintenance, and feature-related questions using the official Tesla Model Y owner manual.
View ProjectAdaptive-Task-Planner-Agent-LangGraph-
December 31, 2025 – Present
An AI agent built with LangGraph that plans daily tasks, tracks progress, and dynamically replans when tasks are delayed or priorities change.
View ProjectCocacola_Pepsi-Bottle-Detection
November 5, 2022 – November 6, 2022
Cocacola_Pepsi-Bottle-Detection — GitHub repository
View ProjectFastAPI
August 11, 2022 – August 11, 2022
Deep Learning API with Model for Image Classification
View ProjectBlack-Friday-Sales-Prediction
June 5, 2022 – June 5, 2022
Black-Friday-Sales-Prediction — GitHub repository
View ProjectHackathon-03-06-2022
June 3, 2022 – June 3, 2022
Hackathon-03-06-2022 — GitHub repository
View ProjectIBMCloud-Database-Mongo-
May 21, 2022 – May 21, 2022
IBMCloud-Database-Mongo- — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong personal drive and interest in AI/ML, which aligns with an innovative culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The projects are diverse within the AI/ML domain, showing a breadth of interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.