About me
I am Shubham Varma, from Kalyan, Maharashtra, India, currently pursuing my B.Tech in Information Technology with Honors in AI at K.J Somaiya College of Engineering. I have a strong background in machine learning and extensive experience in the field. Alongside my studies, I have actively engaged in research projects and have successfully published two research papers. Additionally, I have participated in prestigious hackathons, earning recognition as the winner of Smart India Hackathon 2022 and a finalist in the UNESCO-India-Africa Hackathon. In 2023, I had the honor of being among the Top 15 participants in the Coursera Employment Hackathon. My passion for AI and ML has led me to become a Fellow at 11th IASNLP 2022 and attend the 6th and 7th CVIT Summer School on AI at IIIT Hyderabad. Moreover, I hold the title of AWS AI&ML Scholar, Beta Microsoft Learn Student Ambassador, and serve as a Lead Mentor at SMLRA.
Skills
Bachelor of Technology in Information Technology (with Honours in Artificial Intelligence)- K.J Somaiya College of Engineering, Vidyavihar
Currently enrolled, CGPA: 9.84
Higher Secondory School - Hill Spring International Junior College, Kalyan
Percentage: 78.90%
Primary-School - Sri Vani Vidyashala High School, Kalyan
Percentage(10th): 88.80%
Did my schooling here!
AI Trainee Intern - Fulcrum Digital
● Contributing significantly to the development of the Ryze.ai platform, an AI-enabled ecosystem.
● My role focus on the development of semantic search, intelligent document reader, Autogen, Computer Vision, Conversational AI and various other Generative AI technologies
Research Intern at CFILT Lab - IIT Bombay
● Research intern under Prof. Pushpak Bhattacharyya working on various NLP based research projects.
● Currently working on Unsupervised Pivot Based Neural Machine Translation, for conversion of one language to another using a pivot language embeddings
● Working on Feature based machine translation evaluation system, made a neural machine translator evaluator which significantly improves the evaluation process for machine translation (Project Continued)
Lead Mentor - Somaiya Machine Learning Research Association (SMLRA)
● Lead a team of 12 and contributed to the acceleration of collaboration among students of our college in Artificial Intelligence (AI) research and development. Took sessions on latest trends topics related to AI and machine learning (ML), which helped to educate and engage members of the community.
● Collaborated with the SMLRA team on research papers, which facilitated knowledge sharing and strengthened research capabilities among the community.
Beta Microsoft Learn Student Ambassador - Microsoft
● Contributed to building a thriving community of like-minded students, developers, and tech enthusiasts by promoting and taking workshops on the latest technologies and industry trends. Communicated and collaborated with Microsoft professionals, community leaders, and fellow ambassadors to identify and address the needs of the student community.
R&D Team Head - Team KJSCE ROBOCON
● Managed the Image Processing and MATLAB department of Team KJSCE ROBOCON. Contributed to the team's achievement of AIR-6 in the DD ROBOCON national competition organized by IIT Delhi.
● Developed and implemented several Deep Learning models to enhance the team's performance in the competition. Demonstrated expertise in Image Processing and MATLAB to solve technical problems faced by the team.
Data Analyst - KJ Somaiya College of Engineering
Worked with a faculty member at KJ Somaiya College of Engineering, contributing to data analysis for the faculty portal development.
Research Intern (ML&NLP) - KJ Somaiya College of Engineering
Developed a sentimental cum emotional analyzer using ML and NLP that can analyze the text as well as url's of multiple websites, by scraping them.
GSWOC'21 Contributor - GirlScript Foundation
Contributing to different Open-Source Projects.
Recent Work
Feature based Machine Translation Evaluation
● Designed and implemented an NLP-based deep learning algorithm for speech-to-speech machine translation evaluation at IIIT-H Advanced Summer School on NLP (IASNLP-2022).
● Utilized zero-shot learning to evaluate machine-translated sentences and fine-tuned weights to improve correlation with human ratings. Collaborated with professors from the Language Technologies Research Centre for guidance and mentorship.
● Improved translation quality by refining the algorithm based on evaluation results.
● Developed strong skills in NLP, deep learning, and machine translation.
- Created - July 2022 – Present
- Technologies used - Python, PyTorch, MySQL, AWS, Pandas, NumPy, Matplotlib
- Role - ML Research Intern
Brain Tumor Detection (UIA Project - Runner Up)
● Headed a team of 6 in developing a Brain Tumor Detection system during UIA Hackathon 2022.
● Developed deep learning computer vision-based models for detecting brain tumors and identifying their type and size.
● Achieved high speed and accuracy of 99.6% by leveraging advanced algorithms and optimizing computational efficiency
● Obtained state-of-the-art results in the detection and identification of brain tumours.
- Created - October 2022 - November 2022
- Technologies used - Python, Django, PyTorch, MySQL, AWS, Pandas, NumPy, Matplotlib,Kotlin
- Role - Backend Developer
Case Management and Scheduling System (SIH Project - Winner)
● Led a winning team of six members in Smart India Hackathon 2022, addressing a problem statement from the Ministry of Law & Justice, India.
● Designed and integrated the backend of the project, including algorithms and machine learning models for court case management.
● Delivered an efficient solution improving court case management, potentially benefiting the Indian judicial system.
- Created - June 2022- September 2022
- Technologies used - Python, PyTorch, MySQL, AWS, Pandas, NumPy, Matplotlib
- Role - Backend Developer
Swayam
● Demonstrated proficiency in ASR, NLP and machine learning algorithms by developing Swayam, an ML/AI chatbot for disease detection and diagnosis with accuracy of 99.2% .
- Created - March 2022-June 2022
- Technologies used - Python, TensorFlow, MySQL, Pandas, NumPy, Matplotlib
- Role - Developer
Hawkeye
● Deployed a real-time advanced video security surveillance system utilizing machine learning and computer vision technology. It detects physical intrusion and tracks objects, providing high-level security.
● Implemented the system's live feed transmission capability for remote monitoring over internet.
- Created - December 2021 – February 2022
- Technologies used - Python, Machine Learning, OpenCV
- Role - Developer
Personal Portfolio website
Made this personal portfolio website using HTML, CSS and JavaScript.
- Created - August 2021
- Technologies used - HTML, CSS, JavaScript
- Role - Frontend
- View Online - click here
Other Projects(Minor)
- ScrapSenti- Worked on an NLP based Web Scraper to provide sentimental analysis for the given URL or text.
- Bag-Store- Bag-Store is an online website for selling bags, made with HTML, CSS, and Django with product
- V-News- Android application that fetches and shows the current news using API calls.
- MeMe- MeMe is a dynamic meme app that fetches new memes from different social websites and has the functionality to share and save them.
ECG Digitization
This is a research based project cum Internship. It is capable of Digitializing i.e extracting signal even if the photo of the ECG is blurred or contaains any sort of noise. With the help of this application we can save life of the person by giving crucial information about the ECG in crucial times.
- Created - Januaray 2021- Present
- Role - Machine Learning and Computer Vision implementation
Contact me
Shubham17varma@gmail.com
