
Computer Engineer | Cummins'23
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
codeatlas-frontend
May 19, 2026 – Present
Next.js frontend for CodeAtlas AI that visualizes repository architecture, project summaries, and AI-generated engineering insights.
View Projectcodeatlas-backend
May 19, 2026 – Present
AI-powered FastAPI backend that analyzes GitHub repositories, detects tech stacks, generates architecture diagrams, and provides GPT-5-powered codebase insights.
View Projectpos-emi-reward-negotiation-system
April 11, 2026 – Present
AI-assisted understanding, testing, and maintenance of a Kafka-based POS EMI & reward negotiation system using CQRS, Drools, and distributed backend patterns.
View Projectsmart-study-planner-ai-agent
April 7, 2026 – Present
Smart Study Planner is a multi-agent AI system that helps students automatically create study plans, schedule tasks, and track progress.
View Projectai-sprint-manager-openenv
April 3, 2026 – Present
RL environment where a fine-tuned Qwen2.5-1.5B LLM acts as Engineering Manager across agile sprints — single sprint (Round 1) and 60-day multi-sprint projects (Round 2). GRPO-trained with Unsloth + TRL.
View Projectastronomy-ai-agent
March 27, 2026 – Present
An AI-powered astronomy assistant built using Google ADK and Gemini, deployed on Cloud Run using ADK’s web interface.
View Projectfinance-ai
March 12, 2026 – Present
AI-powered personal finance analytics platform built with React, Spring Boot, and FastAPI, providing intelligent spending insights, budgeting suggestions, and financial analytics.
View Projectfinance-ai-engine
December 20, 2025 – Present
Finance AI Engine – A Python-based AI microservice built with FastAPI that analyzes financial transactions using unsupervised machine learning to detect anomalies and behavioral spending patterns to generate intelligent insights.
View ProjectDSA1-MiniProject
May 4, 2021 – August 13, 2022
Messager : A simple gmail-like messaging application using C++
View ProjectCultural Fit Analysis
The candidate's diverse personal projects, spanning AI, web development, and system design, indicate a strong curiosity and willingness to explore various technical domains. This breadth of interest suggests a good cultural fit for an innovative and learning-oriented environment. However, the target role is 'Computer Network Engineer', and while there are projects involving distributed systems, direct networking experience is not explicitly highlighted. This might indicate a slight misalignment with the specific focus of the target role, though the underlying technical aptitude is evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, which could suggest strong problem-solving and adaptability.