NAMAN SEHWAL

Full Stack AI Engineer

location_on Tokyo, Japan

Naman Sehwal
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About Me

I'm a Full Stack AI Engineer with expertise in building scalable, event-driven microservices and integrating cutting-edge AI/ML solutions.

Currently based in Tokyo, Japan, I specialize in Python, JavaScript/TypeScript frameworks, and cloud infrastructure (AWS). My experience spans from architecting fintech backend systems to developing AI-powered learning management platforms.

I'm passionate about leveraging LLMs, designing robust APIs, and implementing DevOps best practices to deliver high-quality software solutions.

Status: Available immediately for full-time opportunities. Work authorization valid through 2028.
5+
Years Experience
20+
Projects Completed
6
Certifications

Technical Skills

code

Languages & Frameworks

Python JavaScript TypeScript FastAPI Flask Node.js React.js Vue.js
psychology

AI/ML Technologies

PyTorch scikit-learn LLM Integration LLM Fine-tuning Prompt Engineering
cloud

Cloud & Infrastructure

AWS Lambda SQS EventBridge Cognito ECS DynamoDB Docker Kubernetes
storage

Databases

MongoDB Atlas MySQL DynamoDB Redis SQLite

Work Experience

Full Stack AI Engineer Intern

Stealth Fintech Startup, Tokyo Apr 2025 - Sep 2025
  • Designed and migrated systems from monolith to event-driven microservices using FastAPI, Docker, and AWS
  • Implemented asynchronous workflows with EventBridge and SQS, and built shared infrastructure libraries
  • Developed secure, multi-tenant services with AWS Cognito (JWT), and Domain-Driven Design (DDD)
  • Automated database migrations and CI/CD pipelines, improving delivery speed and reliability
  • Architected a secure, event-driven backend with AWS SQS, EventBridge, Lambda, MySQL, and DynamoDB

Full Stack Developer Intern

Kloudfarm AI, India Nov 2024 - Feb 2025
  • Built a scalable FastAPI backend with MongoDB Atlas for AI applications
  • Integrated fine-tuned LLMs into the backend with advanced prompt engineering and parameter optimization

Project Lead Intern

IIT Madras, India May 2024 - Sep 2024
  • Led an 8-member team to develop an AI-powered LMS using React.js, TailwindCSS, and Flask
  • Integrated GenAI features with MongoDB Atlas and META Llama 3.1:8b
  • Managed DevOps workflows with Git, GitHub, Postman, Swagger UI, and PyTest

Machine Learning Research Intern

iNeuron, India Jan 2024 - Apr 2024
  • Developed phishing detection system achieving 80% accuracy on 147,292 domain samples
  • Built Flask REST API and deployed on Microsoft Azure with Cassandra NoSQL database
  • Implemented comprehensive Python logging infrastructure with distributed GitHub storage

Education & Certifications

school

Bachelor's Degree in Data Science

Indian Institute of Technology (IIT) Madras

#1 University in India

Minor: Economics & Finance

GPA: 7.7/10.0

verified

Certifications

  • MongoDB: Certified Python Developer
  • CodeChef IIT Madras: Python Programming (Rank 1)
  • IIT Kharagpur: Data Mining
  • IIT Kharagpur: Computer Networks
  • IIT Kharagpur: Entrepreneurship & IP
  • IIT Kharagpur: Soft Skills Development

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