Aug 2025 – Sep 2025 · 1 mo

• Completed an intensive professional training program by Amazon scientists and engineers as part of the Amazon ML Summer School 2025. The program provided a deep dive into core Machine Learning concepts and their real-world applications at Amazon scale.
• Key Learnings & Highlights:
• ~ Built strong foundations in Supervised & Unsupervised Learning, Deep Neural Networks, Dimensionality Reduction, Sequential Models, Reinforcement Learning, Generative AI, and Causal Inference.
• ~ Gained hands-on exposure to Amazon-scale ML use cases, including recommendation systems, optimization, personalization, and generative models.
• ~ Learned directly from Amazon ML scientists through lectures, Q&A sessions, and case studies — bridging theory with real-world business problems.
• This training not only strengthened my technical expertise in ML but also enhanced my ability to apply machine learning to solve large-scale, practical challenges.

Jul 2024 – Dec 2024 · 5 mos · Indore, Madhya Pradesh, India · On-site

• Developed ML model for book genre classification using TF-IDF and XGBoost, achieving 88% F1-score
• Engineered FastAPI backend with REST endpoints for genre prediction and recommendations
• Containerized and deployed service on AWS EC2 with monitoring and auto-restart capabilities

Jul 2023 – Present · 2 yrs 11 mos · Remote

• Delivered 25+ Python automation solutions (web scraping, API bots, data pipelines), cutting manual work by 60% for global clients.
• Built GenAI-powered chatbots and autonomous agents using LangChain, LangGraph, and OpenAI
• APIs; integrated tools like Google Sheets, Email, and PDFs.
• Developed LLM-backed APIs using FastAPI + Docker, enabling businesses to embed conversational AI into their platforms; delivered 5-star rated solutions.