Account Info:
Name: Harshvardhan
Member Since: 14 Dec 2001 Last Update: July 1, 2025
University: IIT Bombay '25
Status: Student
Sex: Male
Favorite Music:
The Weeknd, Arctic Monkeys, Arijit Singh, Karan Auijla, Mohit Chauhan
Favorite Movies:
Interstellar, Mission Impossible series, Harry Potter
About Me:
Dual Degree student in Electrical Engineering at IIT Bombay, with a minor degree in Computer Science. Scored AIR 391 in JEE Advanced. I’m into Machine Learning, mentoring, and geeky projects—check my resume!
Education
IIT Bombay - B.Tech + M.Tech, Electrical Engineering (2020-25)
Minor in Computer Science & Engineering
Industrial Experience
Strategy Consulting Intern, Jetpac (Circles.Life) – Singapore (Jul ’24 – Present)
- Conducted market research to identify gaps & opportunities in the sales process of global & local travel operators.
- Led 20+ stakeholder interviews to align user experience & product offerings with key customers’ eSIM needs.
- Developed Product Management Documents detailing cross-functional requirements for new product offerings.
- Analyzed the viability & profitability of product offerings across markets in India, US, Europe, and the Middle East.
Founders’ Office Intern, Sanctity AI – Amsterdam (May ’24 – Jul ’24)
- Awarded a Letter of Recommendation for exceptional contribution in developing the foundational algorithm.
- Built an automated survey creation & analysis system using OpenAI GPT models & Excel, integrating multiple agents for system goals.
- Designed a machine learning pipeline with TF-IDF, Random Forest Classifier & OpenAI embeddings to classify problem statements & align user profiles, enhancing accuracy.
Research Engineer Intern, Hushh.ai – Kirkland, US (May ’23 – Jul ’23)
- Developed front-end for Android & iOS apps using TensorFlow Lite & CoreML, integrating proprietary personal knowledge models.
- Led the development of in-house personal knowledge models, improving the company’s LLM capabilities.
- Designed and presented cutting-edge LLM pipelines for Hushh Labs & Research, focusing on Large & Fine-tuned Language Models.
Technical Projects
Quantum Diffusion Modeling | CS726: Advanced Machine Learning (Jan '24 - Apr '24)
Optimized quantum diffusion models for NISQ computing, boosting quantum simulations by 30% under Prof. Sunita Sarawagi.
Resource Allocation in mmWave Networks | Dual Degree Project (Jul '24 - Present)
Developing user-association strategies using Restless Multi-Arm Bandits & Markov models to enhance network performance with Prof. Gaurav Kasbekar.
Spiking Neural Networks | Supervised Research Exposition (Aug '23 - Nov '23)
Designed a hybrid SNN-FCNN in PyTorch, achieving +25% accuracy and -30% training time with Prof. Debanjan Bhaumik.
SuperGlue: Graph Neural Network | EE769: Intro to ML (Oct '23 - Nov '23)
Implemented a GNN-based feature matching model, enhancing image correspondence through an optimal matching layer and attention mechanism under Prof. Amit Sethi.
Video Denoising & Compression | CS724: Advanced Image Processing (Feb '24 - Apr '24)
Achieved PSNR 23.63 and <4.5% error using LRMC and Hitomi algorithms, guided by Prof. Ajit Rajwade.
Reinforcement Learning in Billiards & Football | Self Project (Aug '23 - Nov '23)
Developed a billiards bot using MCTS and optimized football offense with MDP strategies.
Hangman: N-gram & Q-Learning | Self Project (Apr '24)
N-gram model achieved 54.3% accuracy, Q-learning improved guessing efficiency with an 18% success rate.
Deep Learning: Image Segmentation & Restoration | EE610: Image Processing (Nov '22)
Implemented UNet for segmentation (Dice loss: 0.147) and used Watershed & Wavelet Transforms for image restoration under Prof. Amit Sethi.
Forecasting-Based Optimal Energy Pricing | EE722: Restructured Power (Mar '24 - Apr '24)
Developed predictive models for energy pricing, achieving an RMSPE of 16.19% - 22.45% with Prof. Anupama Kowli.
Automatic Speech Recognition | EE679: Speech Processing (Aug '23 - Nov '23)
Built an ASR system using GMM-HMM, achieving 82% test accuracy on Google Speech Commands under Prof. Preeti Rao.
Implied Volatility in Options Trading | IE612: Intro to Financial Engineering (Mar '24 - Apr '24)
Applied Black-Scholes model to estimate implied volatility, achieving RMSE of 11.6 (Call) and 7.1 (Put) under Prof. Surya M. R. Kurada.
Reweighted ℓ1 Norm Minimization | CS754: Advanced Image Processing (Mar '24 - Apr '24)
Enhanced signal sparsity and accuracy using adaptive re-weighted ℓ1 norm minimization techniques with Prof. Ajit Rajwade.
Financial Data Analysis & Modeling | Self Project (Apr '24)
Pre-processed financial data, applied PCA & HMM, achieving 82.5% predictive accuracy for credit spreads.
Stock Market Predictions | Summer of Code, WnCC, IIT Bombay (May '22 - Jul '22)
Implemented ML/DL models (LSTM, ARIMA) to predict Google stock prices, achieving 98.54% accuracy with ARIMA.
Positions of Responsibility
Department General Secretary, Electrical Engineering, IIT Bombay – (Apr ’23 – May ’24)
- Highest elected representative of the EE department, serving 2000+ UG & PG students, 40+ professors, and alumni.
- Leadership: Headed the Students’ Council, sole student representative in the DUGC (department’s apex legislative body).
- Organized the DTE workshop at G20 Youth Summit, collaborating with HoDs from 20+ colleges across Maharashtra.
- Spearheaded a 40+ member team to conduct Impulse, the department fest | Budget: INR 0.7M | 3x increase in footfall.
- Legislated & implemented academic proposals & policies as per the new UG curriculum guidelines.
- Initiated integration of Industry-Mentored Projects into the curriculum as part of Bachelor's & Master's theses.
- Secured INR 30M in alumni donations for the department’s Alumni & Corporate Engagement Cell.
- Managed negotiations, handling & distribution of EE merchandise worth INR 0.65M+ (3.5x year-over-year increase in sales).
- Awards:
- Received Institute Organizational Commendation from the Dean for contributions to IIT Bombay Students’ Gymkhana.
- Awarded the Roll of Honor by the Department of Electrical Engineering for organizational excellence.
Student Mentor, Student Mentorship Program, IIT Bombay – (Jul ’24 – Present)
- Selected as 1 of 150 institute mentors from 430+ applicants & 1 of 54 department academic mentors from 170+ applicants via a 3-stage process.
- Mentoring 12 first-year students, providing academic and non-academic guidance for holistic growth.
- Providing personalized mentorship to 6 sophomores, assisting in academic and co-curricular development.
The Wall
Tanmay wrote: "Hv, kaha hai tu?" - 1430 hrs Feb 20, 2025
Hv replied: "Lab me hu bhai, kaam kr rha" - 1431 hrs Feb 20, 2025
