Software engineer in training with production experience across full-stack (MERN), computer vision, and LLM-integrated applications. Focused on building products end-to-end — from data pipelines and model integration to polished, deployed user experiences.
- Software Intern at CRIS (Centre for Railway Information Systems), Indian Railways — UTS Team (Jun–Jul 2026)
- Shipped full-stack features at Connect The Clinics over a year-long MERN contract
- Pursuing a structured two-year AI/ML roadmap toward ML Engineering — Classical ML, MLOps, Computer Vision, LLMs & Agents
- Competitive programmer — 1600+ LeetCode contest rating, 300+ problems solved
- Flagship build: FinSim — an AI-powered financial literacy simulator (~14K LOC), Google Solution Challenge 2026
Open to: SDE Internships · ML Engineering Internships · Open Source Collaboration
Languages
Frontend
Backend & Databases
AI / ML & Data
Cloud, DevOps & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| LLMs & Agents | ▰▰▰▰▱ | Vertex AI / Gemini integrated in production (FinSim); agentic loop patterns |
| Computer Vision | ▰▰▰▰▱ | YOLO object detection deployed in ResQPets; OpenCV pipelines |
| Classical ML | ▰▰▰▱▱ | Regression, KNN, scikit-learn workflows, KNIME |
| MLOps | ▰▰▱▱▱ | Learning deployment pipelines, monitoring, and model lifecycle |
| Data Science | ▰▰▰▱▱ | NumPy, Pandas, Matplotlib for analysis and visualization |
FinSim — AI-Powered Financial Literacy Simulator · Google Solution Challenge 2026
Game-based simulator teaching real-world financial decision-making through AI-generated, personalized scenarios.
| Stack | TypeScript · Phaser 3 · Firebase · Vertex AI · Gemini |
| Scale | ~14K LOC across ~75 modules |
| Performance | Real-time scenario generation with dynamic difficulty |
| Security | Firebase Auth with Firestore security rules |
| Impact | Google Solution Challenge 2026 submission — gamified financial education |
| Live / Repo | finsimv2.netlify.app · Repository |
Architected an LLM-driven scenario engine on Vertex AI/Gemini that adapts financial simulations to each player's decisions — turning abstract concepts such as compounding, credit, and risk into interactive gameplay.
ResQPets — Computer Vision for Animal Rescue · 4th Place, HackMol 6.0
Detects stray and injured animals via object detection and routes them to nearby rescue organizations.
| Stack | Python · YOLO · OpenCV · React |
| Scale | Real-time detection pipeline with rescue-matching frontend |
| Performance | YOLO-based inference for live animal identification |
| Impact | 4th place at HackMol 6.0 |
| Repository | github.com/charanjot27 |
Built the full detection-to-dispatch flow: camera input, YOLO inference, and geo-matched rescue organization alerts.
Social Media Analysis Tool · Top 100 India, Level SuperMind
Analytics tool surfacing engagement patterns and content insights from social media data.
| Stack | Data analytics pipeline with insight dashboard |
| Impact | Top 100 in India — Level SuperMind Hackathon |
| Repository | github.com/charanjot27 |
Home Automation System · Embedded / IoT
Bluetooth-controlled home automation — relay-driven appliance control from a mobile application.
| Stack | Arduino · HC-05 Bluetooth · Relays · Embedded C |
| Impact | End-to-end hardware, firmware, and mobile control loop |
| Repository | github.com/charanjot27 |
Jun 2026 – Jul 2026
Worked on the Unreserved Ticketing System (UTS) — one of the largest-scale transaction systems in India.
- Contributed to production software serving millions of daily ticketing transactions
- Gained exposure to enterprise-grade systems, deployment practices, and railway IT infrastructure
Java Enterprise Systems Large-Scale Transactions
Jun 2024 – Jul 2025
Year-long paid contract building and shipping full-stack healthcare-platform features.
- Designed and delivered production features across the MERN stack
- Owned features end-to-end: API design, database modeling, frontend implementation, deployment
MongoDB Express React Node.js REST APIs
| Recognition | Details |
|---|---|
| JEE Advanced 2024 | Top 1.2% nationally |
| SIH National Finalist | Smart India Hackathon |
| 4th Place — HackMol 6.0 | Computer vision project (ResQPets) |
| Top 100 India | Level SuperMind Hackathon |
| INSPIRE Award | Government of India science innovation recognition |
| AISQ Qualified | IIT Kanpur |
| EROH | 3rd Institute / 155th National |
| NASA Space Apps Challenge | Participant |
| Robotics Champion | DAV University |
| Drone Systems | DRDO/MeitY certified training — Agastya Robotics Club |
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learning:
- Classical ML and MLOps pipelines
- Sliding Window and Two-Pointer patterns (competitive programming)
- LLM agents and loop-based agentic architectures
building:
- FinSim v2 — AI-driven financial scenarios at scale
- DriveSense Edge — Automotive Edge AI (Tata InnoVent)
exploring:
- Computer vision deployment at the edge
- iOS development with SwiftUI
open_to:
- SDE / ML Engineering internships
- Open source collaboration
- Hackathon teams
"Ship products, not just code."