About Me π«‘
I am a Machine Learning Engineer and Researcher specializing in Large Language Models and Scalable Machine Learning. I am working at Computelib, where I focus on enhancing app performance and infrastructure. Concurrently, I am delving into Quantum Machine Learning with a strong interest in Quantum Algorithms and Quantum Natural Language Processing. I have contributed to various e-commerce projects, developed microservices, and optimized machine learning models. Additionally, I have experience in Speech Recognition, Speech Synthesis, and Speech Processing. My technical skills span across Python, C++, TensorFlow, Flask, and various vector databases like ChromaDB and Pinecone. Feel free to connect with me on LinkedIn.
More about me! π
- π Iβm currently working on Large Language Models and Scalable Machine Learning π€
- π― Iβm looking to dive into robust Quantum Machine Learning. β‘
- π¬ Ask me about food and place to find food! π
- π« Socials: LinkedIn, π€, π€,
- π Fav mathematical equation: Riemann Hypothesis
Recent Updates π
- [July 2024] Scored 8 bands (CEFR Level C1) in International English Language Testing System (IELTS) Academic! π
- [June 2024] Attended ACM Summer School on Generative AI for Text! π€© (Webiste)
- [May 2024] Section Leader at Code In Place, April - May 2024 π§βπ«
Recent Articles π
- [July 2024] Traveling Salesman Problem Using Quantum Computing (Read) in The Quantastic Journal π
- [July 2024] Basics of Quantum Computing for QML (Part 1 , Part 2) π
- [July 2024] Quantum Machine Learning for ML Engineers (Read)π
Research Interests π€―
- Quantum Machine Learning: Quantum Computing, Quantum Algorithms, Quantum Machine Learning, Quantum Natural Language Processing.
- Scalable Machine Learning: Large Language Models, Model Compression, Model Pruning, Model Quantization, Model Distillation.
- Phonetics and Phonology: Speech Recognition, Speech Synthesis, Speech Processing, Speech Enhancement, Speech Analysis.
Skills π
- Programming: Python, C#, C++, R, Kotlin, SQL, JAVA, C
- Backend: Flask, Django, REST API
- Libraries: Pandas, Numpy, Matplotlib, Scikit-Learn, TensorFlow, LangChain
- Database: MySQL, Realtime Database (Firebase), ChromaDB, FAISS, Qdrant, Pinecone
Experience πΌ
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DZap
Artificial Intelligence Engineer
Sept 2024 - Present | Remote
- π Developing a Efficient Graph-Based Modeling and Querying of Cross-Blockchain Token Relationships
- π Working on Integration of LLM and Natural Language Commands to Blockchain System.
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COMPUTELIB
Machine Learning Intern
June 2023 - July 2024 | Remote
- π Developing an MVC web app serving as a central gateway in a microservices infrastructure.
- π Boosted app performance, reducing processing time by 12% and increasing production uptime by 43%.
- π Contributed to e-commerce projects involving Shopify and BigCommerce.
- ποΈ Designed and implemented clean architecture-based microservices with support for both gRPC and REST APIs.
- π§ Developed a Flask-based LLM app, implementing JWT and security features, optimizing response times to ensure delivery within a minute.
- π€ Worked with Hugging Face, Open LLM, Langchain, and various vector databases like ChromaDB, Faiss, Pinecone, Qdrant.
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WIINGY | International Tutor π
Oct 2022 - Dec 2022 | May 2023 - Present | Remote
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INDIAN KNOWLEDGE SYSTEMS (IKS), AICTE | Technical Intern
Feb 2023 β March 2023 | Remote
- πΆ Worked with the Ministry of Education, Gov of INDIA on Archiving and Reviving Oral Lullabies in the Gujarati Language.
- βοΈ Improved user experience by optimizing the appβs Firebase code, resulting in a 23% decrease in data exchange with storage and a 12% decrease in average per-user session database download data.
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VERSEFI | Android Developer π±
Nov 2022 β March 2023 | Remote
Education π¨π»βπ
Projects π‘
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A platform to create interactive stories with images just by few clicks.
- π Developed an engaging story creation application using advanced language models (LLMs).
- πΌοΈ Follows a branching narrative style, offering readers choices after every 2-3 paragraphs to select their desired path.
- π Images are dynamically generated using the FLUX model, with prompts crafted by LLM for a seamless storytelling experience.
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Your Trusted Companion for Pet Care, Sitting, and Adoption.
- π± Developed a comprehensive platform to connect pet owners with reliable pet care services.
- π
Implemented booking and scheduling features for pet sitting services.
- π Integrated user reviews and ratings to ensure high-quality service providers.
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Developed a Personalized AI Assistant Study App and Web Platform.
- π€ Created an AI-powered assistant to help students with personalized study plans.
- π Implemented features like note-taking, reminders, and progress tracking.
- π Designed both a mobile app and web platform for easy accessibility.
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A facial recognition API required to compare two faces.
- πΈ Developed a robust facial recognition API to verify and compare faces.
- π Implemented advanced algorithms to ensure high accuracy in identification.
- π Designed to be scalable and integrable with various applications and services.
TAπ³οΈs and Mentorπ³οΈs
- Indian Institute of Information Technology Vadodara(IIITV)
- IT:161 Computer Programming and Problem Solving, 200+ UG students, Dec 2022 to Mar 2023, with Dr. Bhupendra Kumar.
- MA:201 Probability and Statistics, 200+ UG students, Sep 2023 to Dec 2023, with Dr. Ashish Phophalia.
- CS/IT:308, CS:612/652, CS:8XX Machine Learning, 40+ UG and PG students, Jan to May 2024, with Dr. Jignesh S. Bhatt.
- Indian Institute of Technology Madras(IITM)
- Mentor for Programming in Python, Aug 2022 to Sep 2022.
- Mentor for Maths 2, Sep 2022 to Dec 2022.
Posters/Talks π