I'm a curious computer engineer, fascinated by the puzzles in the world around me. With a quest for ever-increasing knowledge and insatiable curiosity.
I strive for challenging opportunities to exercise and build upon my repertoire of computation, development, and collaboration skills, and aspire to combat problems which result in positive impacts on the community!
I want to engineer efficient solutions to problems that may seem commonplace.
I am a fanatical Formula 1 fan and almost never miss a race!
Let's collaborate on a project. Reach out to me via:
Coursework -
Winter 2023 - Algorithm and Design Analysis; Data Systems for ML; Search and Optimization.
Fall 2022 - Principle of AI: Probabilistic Reasoning and Decision-Making; Web Mining and Recommender Systems.
CGPA: 9.70/10
Coursework - Structured Programming Approach, Data Structures, Analysis of Algorithms, Advanced Algorithms, Database Management Systems, Machine Learning, Big Data & Analytics, Artificial Intelligence and Soft Computing, Digital Image and Signal Processing.
Finals - 94.7%
Achievement - 3rd in College
Finals - 95.83%
Winner of multiple inter house competitions.
Part of college football and volleyball team.
Implemented five pre-trained deep learning models (Xception, ResNet50, VGG19, MobileNetV2, EfficientNetB7) on the MEVIEW (MicroExpression VIdEos in-the-Wild) dataset using transfer learning, achieving the best accuracy of 98.26%, raw-data preprocessed (video to frames), feature extraction and classification of 6 micro expressions.
Research paper presented at ICDSAI-2022 and set to release in SCOPUS indexed SPRINGER PROMS.
Link Code Python
Designed an end-to-end system for easy training of classification models for micro and macro datasets by training the dataset on multiple fine-tuned classification algorithms and neural networks that output a downloadable model with the best accuracy.
Research paper presented at ICCCT’21 and set to publish in IEEE Digital Xplore (Scopus Indexed).
Link Code Python Flask React.js Sckit-Learn
Performed analysis on time series air quality data of major cities in India, found trends and patterns in AQI based on seasons, COVID-19, and festivals and their impact on air quality measures.
Forecasted the AQI levels for 2021 using prophet and SARIMAX, giving an absolute mean error of 26.284 and 37.922.
Performed a comparative analysis of AQI for ‘Delhi’ and ‘Bengaluru,’ plotting their correlation using Pearson’s matrix.
Research paper presented at ICACET-21 and set to publish in IOP Journal of Physics: Conference Series.
Code Python SARIMAX Prophet
Implemented four models (Random Forest, XGBoost, AdaBoost, and MLP) on the Stroke Prediction Dataset, achieving best accuracy of 97.67%, extensive preprocessing, handled missing values using SimpleImputer, sampling using ADASYN, and removal of outliers.
Research paper presented at ICACET-21 and set to publish in IOP Journal of Physics: Conference Series.
Code Sckit-Learn Pandas NumPy MatplotlibA collection of my personal and collaboration projects that I've undertaken over the course of my undergraduate education to explore different fields in Computer Science and narrow down my areas of interest.
Formulated a three-staged custom test consisting of questions and case studies derived from MSCEIT Tests and approved by doctors to intensively analyze emotion-related abilities such as perception, management, and understanding.
Executed models to detect and extract emotions from speech and audio and extract micro-expressions from videos.
Devised a relative scoring algorithm to output results of three tests i.e., EQ.
Python
Designed an end-to-end school management system catering to all functionalities for 4 entities, Student, Teacher, Parent, Administration.
Implemented features such as attendance manager for teachers that included adding, viewing, and downloading attendance log to Excel.
Other features – daily task manager, library, assignment, course, and schedule management system.
Code PHP SQL JavaScript HMTL5 CSS
A python script to notify the vaccine availibility via email. It uses the Co-Win Public API to fetch the slot details for 18 to 44 and 45+ categories for multiple hospitals in the district of Mumbai. The script on execution hit the API and sends the information via email to the user. On cloning the repository the script can be set up to run periodically using a cloud hosting service or Task Scheduler in case of Windows or using a Crontab in Mac or linux.
Code Python Co-WIN Public API
Owning the design and implementation of the frontend for the various features of an automated portal (to be used by an NGO) to maintain a patients’ medical records, make appointments, match a patient to a specific doctor, one stop place for all medical needs.
Code React.js Django CSS MongoDB
A real-time auctioning platform that provides a platform for sellers and prospective buyers from all over the world to interact. Real-time filtering of products based on category. Real-time online bidding in auction rooms.
Code HTML CSS Django Redis ServerHere are a few technologies I've worked with or implemented in my projects, coursework and hackathons. Hope to add some more technical skills to this list in the future!