Hi! I am an AI/ML Engineer with passion for ML research and model optimization. I am particularly interested in deep learning systems, optimization techniques, distributed training, inference acceleration, and low-level performance engineering.
I am at my best when the stakes are high and the pressure is on. I thrive in challenging environments where innovative thinking and adaptability are paramount.
Manipal University Jaipur
Computer and Communication Engineering
Nov 2020 - June 2024
AccuKnox
Delhi, India • Remote
AI/ML Engineer
Full-time
Dec 2024 - Present
AI/ML Trainee
Apprenticeship
Jun 2024 - Dec 2024
- Hands-on experience in fine-tuning large language models (LLMs) and developing retrieval-augmented generation (RAG) applications.
- Implemented vector database (VectorDB) solutions for efficient data retrieval and semantic search.
- Worked extensively with backend technologies, including Docker for containerization and Neo4j for graph database modeling and queries.
C4GT (Code for GovTech)
Open Source Developer
July 2023 - August 2023
- Upgraded Keycloak from v7 to v20 within Sunbird Learn project, enhancing user authentication and authorization.
- Established a local development environment for efficient testing and development.
- Conducted rigorous testing to ensure compatibility and security.
PGAGI
AI/ML Intern
February 2024 - March 2024
- Worked on chatbot development and vector database integration.
- Developed chatbot solutions for online store owners.
- Worked on all stages of development, ensuring adaptability to new technologies.
- Helped in report generation and vector database construction to improve chatbot performance.
Automatic Attendance using Facial Recognition | Link
Python, Streamlit, NumPy, OpenCV
- Developed an automated attendance system using face recognition technology to streamline the attendance-taking process for educators and students.
- Implemented a Python script with computer vision libraries to analyze images, identify individuals’ faces, and store names in a CSV file.
- Created a user-friendly web application for teachers to upload class photos, trigger face recognition, and view real-time results.
Document Reader | Link
Python, Gradio, LLM, Vectorstores, Transformer
- Developed an education chatbot with PDF upload and query interfaces, employing document processing and vectorization techniques for efficient storage and retrieval.
- Integrated Gradio framework for UI development and Mistral-7b-Instruct model for enhanced language understanding.
- Optimized chatbot design for improved user experience and accessibility to educational resources.
Image Editor | Link
Python, Gradio, Diffusers, OpenCV
- Uses Gradio as UI and Python, Diffusers, and OpenCV as backend.
- Enables users to mask images and generate new images through prompt-based inputs.
- Integrated advanced image processing and generation techniques for a seamless user experience.