I'm Ashirwad Sharma, an Applied Data Scientist & Full-Stack AI Developer with hands-on expertise in NLP, LLMs, and intelligent systems. I build AI products with features like memory, multilingual support, and real-time interaction.
I thrive in competitive environments and have a proven track record as a 2x Hackathon winner. My work is backed by strong fundamentals in Data Structures & Algorithms and backend development.
I am passionate about leveraging technology to solve real-world problems and continuously seek to innovate and grow in the field of AI and software development.
2023 - 2027
2023 - PRESENT
2023 - PRESENT
2023 - 2027
Pursuing a comprehensive B.Tech degree with a focus on core computer engineering principles, data structures, and algorithms. Actively participating in competitive programming and technical events to build a strong foundational knowledge.
Achieved an SGPA of 8.6 in Semester 1, 9.2 in Semester 2, and 8.6 in Semester 3.
Winner of the college-level DSA Coding Competition, demonstrating strong problem-solving skills.
Ranked as a Finalist (Top 6) in the Tech Horizon Codefest.
2023 - PRESENT
As an Applied Data Scientist and AI Developer, I have hands-on expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and building intelligent systems from the ground up.
Winner at a Hackathon hosted at Sandip University.
Developed a memory-augmented Conversational AI Assistant using the Gemini Pro LLM, featuring Hinglish support and STT/TTS pipelines.
Built 'MediQueue', a Smart Hospital Assistant, which was a Hackathon Finalist. The project used ML for queue optimization and AI-driven inventory management.
Created a Hackathon-winning AI Donation Platform with ML-based fraud detection, real-time donation tracking, and transparency reports.
Engineered a Sign Language Translator that converts gestures to text using OpenCV, including real-time video support.
2023 - PRESENT
Building robust and scalable full-stack applications with a focus on backend logic, database management, and seamless API integration. Passionate about creating efficient and secure server-side solutions.
Developed a full-stack Expense Manager application using the MERN stack.
The application features intelligent AI-based categorization and tagging of expenses to provide users with insightful analytics.
Implemented secure user authentication using JWT and built RESTful APIs for client-server communication.