Hello! 👋 I'm

Chandan

MS CS student at Northeastern (3.95 GPA) with 4 years engineering enterprise systems at LSEG & Infosys from event-driven pipelines processing 7.5M+ records daily to AWS serverless microservices. Expertise spans Deep Reinforcement Learning agents, multi-agent RAG systems with LangChain, multimodal VLM benchmarking, Kubernetes operators in Go, and full-stack development with Next.js and React.

4 Years Experience
4 Certifications
25+ Projects
1 Publication
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Java Python Go AWS Kubernetes Deep RL TensorFlow Spring Boot Django MySQL

My Journey

• Click any milestone to expand •

Jan 2025 - Present
▼
M.S. Computer Science Student
Northeastern University, Boston, MA
Pursuing advanced studies in AI and distributed systems
Current Focus:
  • Advanced Machine Learning and Deep Learning
  • Web Development with modern frameworks
  • Distributed Systems and Cloud Architecture
GPA: 3.95/4.0
Expected Graduation: May 2027
Aug 2022 - Dec 2024
▼
Software Engineer
London Stock Exchange Group (LSEG), Bengaluru
Enterprise fintech solutions with Java & AWS
Key Achievements:
  • Architected event-driven pipeline processing 7.5M+ XML compliance records
  • Built microservices with Java Micronaut and AWS Lambda
  • Reduced request latency by 40%
  • Improved security, lowering incidents by 50%
Technologies: Java, Micronaut, Python, AWS Lambda, SQS, API Gateway
Oct 2020 - Aug 2022
▼
Software Engineer
Infosys, Bengaluru
Python data pipelines and microservices automation
Key Achievements:
  • Engineered Python data processing pipelines with concurrent execution, achieving 3X throughput improvement
  • Designed microservices integration patterns, reducing manual system interventions by 50%
  • Optimized database query performance through strategic indexing, reducing data processing latency by 35%
  • Developed monitoring and error-handling frameworks, improving data extraction accuracy by 20%
Technologies: Python, OCR, Microservices, ETL Pipelines, MySQL
Jan 2020 - Mar 2020
▼
System Engineer Intern
Infosys, Mysuru
Full-stack web development internship
Experience:
  • Built full-stack web apps with C#, .NET, and JavaScript
  • Feature upgrades and bug fixes for HMS application
  • Collaborated with teams using Node.js and Angular
  • Worked on client-facing enterprise applications
Technologies: C#, .NET, JavaScript, Node.js, Angular
Aug 2016 - Aug 2020
▼
Bachelor of Engineering
Nitte Meenakshi Institute of Technology (NMIT), Bengaluru
Computer Science degree with honors
Highlights:
  • CGPA: 8.76/10
  • Strong foundation in data structures, algorithms, and software engineering
  • Active in hackathons and coding competitions
  • Published IEEE research paper on AI healthcare systems

Work Experience

4 years of production-scale development experience

LSEG Logo
LSEG
Aug 2022 - Dec 2024
2.5 years

Software Engineer

London Stock Exchange Group • Bengaluru, India

  • Engineered event-driven pipeline serving 180+ countries, transforming 7.5M+ XML compliance records into standardized JSON at 40 records/second with 99.9% data integrity
  • Architected multi-queue priority routing framework in Python with AWS SQS and Lambda, improving turnaround time for high-priority KYC/AML screening updates by 35%
  • Developed scalable microservices in Java Micronaut deployed on AWS Lambda with API Gateway, reducing end-to-end request latency by 40%
  • Hardened system security by integrating AWS WAF, IAM-based secret rotation, and TLS communication, lowering security incidents by 50%
  • Mentored team of 5 junior engineers and coordinated with 7 cross-functional teams to ensure data flow migration with zero downtime
Java Micronaut Python AWS Lambda SQS API Gateway CloudWatch AWS WAF
Infosys Logo
Infosys
Oct 2020 - Jul 2022
2 years

Software Engineer

Infosys Limited • Bengaluru, India

  • Engineered high-throughput Python data processing pipelines with concurrent execution, achieving 3X throughput improvement through efficient resource management
  • Designed microservices integration patterns and API orchestration layers, reducing manual system interventions by 50% through automated service discovery
  • Optimized database query performance and ETL pipeline efficiency through strategic indexing and batch processing, reducing data processing latency by 35%
  • Developed comprehensive monitoring and error-handling frameworks with real-time failure detection, improving data extraction accuracy by 20%
Python RPA OCR Microservices ETL Pipelines MySQL
Infosys Logo
Infosys
Jan 2020 - Mar 2020
3 months

System Engineer Intern

Infosys Limited • Mysuru, India

  • Built full-stack web applications using C#, .NET, and JavaScript frameworks
  • Implemented feature upgrades and bug fixes for Hospital Management System (HMS) application
  • Collaborated with development teams using Node.js and Angular for client-facing enterprise applications
  • Gained hands-on experience with enterprise application development lifecycle and agile methodologies
C# .NET JavaScript Node.js Angular

Featured Projects

Featured projects spanning Deep RL, Generative AI, Cloud Infrastructure, and Full-Stack Engineering

speed

Vector-Q Transformer SAC for Autonomous Racing

Deep RL • CUDA • Transformer • Behavioral Cloning

Continuous-control RL agent driving a racing simulator at 25 Hz on a consumer GPU. Pre-trained on 159k self-collected human demo frames via behavioral cloning, fine-tuned with a novel Vector-Q SAC variant (per-channel critic + auto-tuned entropy). 6.6M-param Transformer policy at ~0.2 ms inference latency.

PyTorch CUDA SAC TransformerEncoder Behavioral Cloning
GitHub →
auto_awesome

LMARO - Multi-Agent Resume Optimizer

AI • RAG • LangChain • Full-Stack ML

Advanced AI platform combining RAG with LangChain ReAct framework for intelligent resume generation. Features ChromaDB vector database, semantic search across GitHub repositories, and multi-agent system with 90+ quality scores.

LangChain ChromaDB FastAPI Next.js 15 RAG
GitHub →
psychology

Dino Game Deep RL Agent

AI • Deep Reinforcement Learning • Computer Vision

Autonomous AI agent using Double Deep Q-Network (DDQN) with ResNet architecture (1.5M parameters) achieving real-time decision-making at 16.67 FPS through deep reinforcement learning.

PyTorch Deep RL ResNet OpenCV
GitHub →
image_search

Composed Image Retrieval - VLM Benchmark

Multimodal AI • CLIP • FAISS • Quantization

Systematic benchmark of 7 VLM architectures for composed image retrieval on Fashion-IQ. Combines CLIP embedding fusion, VLM reranking (Gemini, GPT-4o, Qwen-3B), and textual inversion. 4-bit Qwen quantization matches GPT-4o at zero API cost.

PyTorch CLIP FAISS 4-bit Quantization VLM
GitHub →
cloud

Orion Platform

Cloud • Kubernetes • Platform Engineering

Cloud-native Platform-as-a-Service with custom Kubernetes operator in Go enabling single-command deployment. Features automated resource provisioning, health monitoring, and event-driven reconciliation loops.

Go Kubernetes Operator SDK Docker
GitHub →
school

Kambaz Learning Management System

Full-Stack • Next.js 15 • React 19 • Live Deployed

Production-grade LMS with Next.js/React frontend and Node.js/Express backend. Features Redux state management, MongoDB Atlas, SSR, and comprehensive testing. Deployed live on Vercel and Render.

Next.js 15 React 19 Redux Node.js MongoDB
Frontend → Backend →
event

Calendly Clone

Enterprise Java • TDD • Design Patterns

Enterprise-grade scheduling platform with 6+ design patterns, comprehensive unit testing (98% coverage), and SOLID principles. Demonstrates production-level Java development with 52 source files.

Java Spring Boot TDD Design Patterns
GitHub →
directions_boat

Maritime Logistics Platform

Full-Stack • Algorithms • Advanced SQL

Port management system implementing Dijkstra's algorithm in SQL stored procedures. Features 15+ interconnected tables, 50+ stored procedures, and multi-role authentication with complex graph traversal.

Django MySQL Algorithms Stored Procedures
GitHub →
gavel

Tribunal - Bitcoin-Native AI Agent Marketplace

Bitcoin Script • HTLC • Next.js • Trustless Protocol

Bitcoin-native AI agent marketplace using real Bitcoin Script HTLC contracts for trustless escrow, on-chain reputation, and staked-jury dispute resolution via commit-reveal voting. Community Prize at MIT Bitcoin Hackathon 2026.

Bitcoin Script bitcoinjs-lib P2WSH Next.js 16 MongoDB
GitHub →

Certifications

Professional certifications validating technical expertise

cloud_done

AWS Certified Cloud Practitioner

Amazon Web Services

event Nov 2023 verified Valid until Nov 2026

Validated expertise in AWS cloud architecture, security best practices, and core cloud services including EC2, S3, Lambda, and IAM.

description Show Credential
precision_manufacturing

Automation Anywhere Certified Advanced RPA Professional

Automation Anywhere

event Mar 2021 badge ID: 29965043

Advanced certification in Robotic Process Automation demonstrating expertise in bot development, OCR integration, and enterprise automation solutions.

description Show Credential
code

Infosys Certified Python Programmer

Infosys

event Dec 2020

Professional Python programming certification demonstrating proficiency in core Python concepts, data structures, and software development best practices.

code

Infosys Certified Python Associate

Infosys

event Nov 2020

Foundation-level Python certification covering fundamental programming concepts, syntax, and best practices for software development.

Achievements

Research publications and competitive accomplishments

emoji_events

MIT Bitcoin Hackathon: Freedom for All

Community Prize Winner

Won Community Prize for Tribunal, a Bitcoin-native AI agent marketplace built on real Bitcoin Script HTLCs with three-prong escrow contracts (seller bond, buyer advance, buyer remainder), on-chain reputation indexing, and decentralized dispute resolution via a staked federation jury using commit-reveal voting. The platform holds zero funds, takes zero fees, and renders verdicts deterministically through Bitcoin Script.

2026

open_in_new View on Devpost
school

IEEE Publication

IEEE Conference

Published research paper: "Doctor-Patient Assistance System using Artificial Intelligence" - Architected end-to-end AI architecture combining NLP with TensorFlow-based diagnostic models.

2020

description View Publication
emoji_events

Hackathon Winner & Coding Competitions

Undergraduate Studies

Active participant in hackathons and coding competitions during undergraduate studies, demonstrating problem-solving skills and innovative thinking through multiple competitive programming challenges.

2016 - 2020

Technical Skills

Click or hover categories below • Main card auto-rotates every 5 seconds

code

Programming Languages

4+ years production experience • 7 languages mastered

Expert in Python and Java with 4+ years production experience. Versatile across multiple programming paradigms for building scalable systems.

code
Languages
7 languages

Programming

Python • Java
TypeScript • C#
JavaScript • Go
C++

psychology
AI/ML
8 tools

Machine Learning

PyTorch • LangChain
RAG • Vector DB
TensorFlow • Pandas
NumPy • OpenCV

cloud
Cloud & DevOps
6 tools

Infrastructure

AWS • Kubernetes
Docker • Terraform
Linux • Git

web
Frameworks
7 frameworks

Development

Spring • Micronaut
Mockito • Django
React • Flask
Bootstrap

storage
Databases
5 databases

Data Systems

MySQL • ChromaDB
PostgreSQL • MongoDB
Redis • SQLite

Let's Connect

Open for 2026 co-op opportunities and exciting projects. Feel free to reach out through any of these channels!

email business code