Headline

Data scientist & AI/ML Engineer | Amazon ML Summer School ’25 | GenAI · RAG · Prompt Engineering · ML • Java • Springboot | Top 21% LeetCode

About

I'm an AI/ML Engineer specializing in building end-to-end intelligent systems—from feature engineering and model development to RAG pipelines, agentic workflows, and cloud deployment. During my internship at Stripe, I improved fraud detection accuracy by 32% and reduced false positives by 24% by engineering 50+ predictive features and fine-tuning XGBoost and Random Forest models across 1M+ financial transactions. I also developed a real-time risk-scoring pipeline that reduced manual review workload by 40% and accelerated inference latency by 28% through optimized SQL queries and vectorized Pandas operations. At SkillMind Software, I designed and deployed a production-grade RAG-powered HR chatbot using Gemini API, LangChain, FastAPI, and Pinecone, improving query accuracy by 35% while saving approximately 200 hours per month in manual processing. Beyond internships, I've built and deployed full-stack AI applications, including a multi-tool agentic AI platform with sub-2-second query latency, MLflow experiment tracking, Dockerized infrastructure, and automated CI/CD pipelines. I also developed a medical Q&A chatbot deployed on AWS, powered by a 637-page knowledge base and advanced retrieval-augmented generation techniques. I was selected among the top 2,000 students nationwide for Amazon ML Summer School 2025, where I advanced my expertise in machine learning, deep learning, and generative AI. I'm currently seeking full-time AI/ML Engineer and Data Scientist opportunities starting in mid-2026.

Location

Greater Delhi Area

AI stack

opencode

claudecode

Work experience

Data Scientist at micro1, Jun 2026 - Present · 3 mos, Remote

Data Science Intern at Stripe, Feb 2026 - May 2026 · 4 mos

Java Full stack Intern at Capgemini, Jan 2026 - May 2026 · 5 mos, Ghaziabad, Uttar Pradesh, India, • Completed intensive full-stack Java training covering Spring Boot, Microservices architecture, AWS, Docker, and cloud fundamentals, applying enterprise design patterns to production-style backend systems. • Independently built all 6 modules (Employee, Office, Customer, Orders, Products, Payments) of an Order Inventory Management System, designing 50+ REST APIs with Spring Boot and Spring Data JPA/Hibernate. • Implemented Spring Security with JWT authentication, a centralized Global Exception Handler (@RestControllerAdvice), and Thymeleaf-based server-rendered UI pages for order, product, and customer workflows. • Managed collaborative version control using Git and GitHub — forking repositories, submitting pull requests, and resolving merge conflicts across 30+ commits, applying industry-standard code review practices.

Machine Learning Intern at Amazon, Aug 2025 - Sep 2025 · 2 mos, India, Selected among the top 2,000 students nationwide from tens of thousands of applicants for Amazon ML Summer School 2025, a highly competitive program led by Amazon scientists and machine learning practitioners. Completed advanced coursework in: Supervised Learning and Model Evaluation Deep Neural Networks Generative AI and Large Language Models (LLMs) Reinforcement Learning Causal Inference

Fundraiser at Tare Zameen Foundation, Sep 2024 - Apr 2026 · 1 yr 8 mos, Delhi, India

Education

Bachelor of Technology - BTech, Artificial Intelligence, ABES Engineering College

Intermediate, Science, Blue birds international school

Public links

github: https://github.com/adityaxguptaa