Sachin Gawade

About Sachin Gawade

I’m an AI/ML Engineer and Full-Stack Developer passionate about building intelligent, scalable systems that solve real-world problems. I recently completed my B.Tech in Artificial Intelligence & Machine Learning (2025) from D. Y. Patil College of Engineering & Technology, with a strong focus on applied AI, deep learning, and software engineering. At Profusion Tech Labs, I contributed to the design and development of CashBitAI—a production-grade fintech platform handling monthly transactions. I engineered secure, event-driven backend services using Spring Boot and Kafka, optimized PostgreSQL queries for high-throughput performance, and integrated a fine-tuned Mistral AI model to deliver predictive financial analytics. Additionally, I implemented Tesseract OCR to automate document workflows and used SpringDoc OpenAPI for seamless integration and API transparency. I also developed a responsive frontend using React.js and Material-UI, prioritizing component reusability, performance, and user experience. Outside the internship, I’ve led academic and personal projects involving RAG systems, LLMs, and AI-powered diagnostics—bridging research and engineering through frameworks like FastAPI, Flask, and HuggingFace. I’m motivated by impact, innovation, and the challenge of building systems that are intelligent, efficient, and production-ready.**Technical Stack:** Python, FastAPI, Flask, Spring Boot, Kafka, PostgreSQL, React.js, Tailwind CSS, TensorFlow, PyTorch, HuggingFace, LangChain, OpenAI API, Mistral AI, Tesseract, Streamlit

Experience

1. Technical Intern

   Profusion Tech Labs

   Aug 2024 — Present

   CashBitAI – Fintech PlatformTech Stack: Spring Boot, PostgreSQL, Kafka, React.js, Material-UI, JWT, OCR (Tesseract), Mistral AI.Developed a secure and scalable RESTful backend with Spring Boot, processing monthly transactions with 99.9% uptime.Integrated JWT-based authentication via Spring Security, improving access control efficiency by 40%.Optimized PostgreSQL queries using indexing, reducing average query time by 35%.Enabled real-time transaction alerts through Kafka with 90.Reused 15+ custom components, increasing code maintainability and reducing development time by 40%.Trained and integrated a custom ML model (Mistral AI) with 85%+ prediction accuracy for financial analytics.Used Tesseract OCR to automate document processing, reducing manual workload by 60%.Deployed with <200ms response time for real-time analytics dashboards.

Education

• D. Y. Patil College of Engineering & Technology, KASABA BAWADA

  Bachelor of Technology - BTech

  2022 — 2025

• Waradkar high school katta

  Bachelor of Technology - BTech

  2021 — 2025