Hi! I'm a CS grad from UC San Diego where I specialized in AI. I enjoy all things machine learning.
Recent work:
I'm currently working on a FinTech startup.
Recently, I was at Chainlink Labs' research team where I built an ML-based solution to rank their data providers.
Before this, I worked with the ACES Lab at UCSD and made a PyTorch acceleration framework for distributed large-scale GNN inferencing.
Previously:
I was an ML Engineer at MIDAS with a super smart team solving hard problems via multimodal AI. I implemented novel ideas for neural quantitative trading, applied NLP, and theoretical ML.
Before that, I worked with the Indian government & built large-scale computer vision systems at their Intelligent Systems group where my projects impact over a million people across India today.
To date, I've had the fortune to collaborate with brilliant people from Tower Research, Bloomberg, Chainlink Labs, Samsung, LG Soft, NVIDIA, NUS Singapore, MIT CSAIL, & Indian Space Research Org.
When I'm not working I like to travel & make music!
Want to talk? Send an email or schedule a meet!
Highlights
2023
{May} Feeling super grateful and enthusiastic to have joined the research team at Chainlink Labs
{Mar} Thrilled to have graduated from the CS masters program at UCSD with a 4/4 GPA. Looking forward to an exciting and more impactful time in the tech industry!
2022
{Sep} Continuing my internship with the ACES Lab as a graduate student researcher, advised by Prof. Farinaz Koushanfar and Dr. Mojan Javaheripi
{Jul} This means very little in the grand scheme of things, but feeling thrilled to have reached over 100 citations on my papers :)
{Jun} I'll be spending the summer as an ML research intern with the ACES Lab at UCSD working on large-scale graph neural network inference acceleration!
{Apr} Collaborating for AI research with Prof. Lily Weng, specifically studying certification schemes for robust RL
{Mar} Working as a teaching assistant for UCSD's graduate course: Statistical NLP (CSE 256) with Prof. Ndapa Nakashole this spring
2021
{Sep} Starting MS in CS @ UCSD! Moved to La Jolla in sunny San Diego -- the finest city in the USA. Back to school after 3 years -- learning never stops!
{Jul} Sneak peak into what it took to get top admits: read here!
{May} Work on curriculum learning accepted at UAI 2021! Defined multivariate entropies to better train neural trading models, so they can make you more $$$
{Apr} Paper accepted at IJCAI 2021! Modeled temporal context in political debates as time-evolving dynamic graphs
{Apr} Finalized grad school -- will be joining UC San Diego! Excited for being at one of the finest places (in the world) to do CS
{Apr} Short paper accepted at SIGIR 2021! Explored the Riemannian manifolds to encode online textual data
{Mar} Paper accepted at NAACL 2021! Created an NLP-based RL algorithm to trade stocks and optimize portfolios. R2 believes my work to be ‘a genuine NLP application’ + my paper well-written, extremely thorough, properly motivated, and well-organized!
{Jan} 2021 is being wild! New paper at The Web Conference (WWW) 2021 exploring the scale-free dynamics of stock markets on the Riemannian manifold + a new hyperbolic graph NN for algorithmic trading
{Jan} Paper accepted @ the European ACL -- EACL 2021! Proposed a learning-to-rank approach to select profitable equities based on Chinese news and English tweets
{Jan} Research with previous group, on detecting surface damages in UNESCO world heritage sites using DL, accepted at The Journal of Cultural Heritage (JCH), Elsevier. VR app out soon!
{Jan} Hiring research interns at MIDAS@IIIT-Delhi. Reach out if you have a grasp of DL and PyTorch, and you're excited by NLP, data mining, and multimodal AI
2020
{Dec} Full paper accepted @ AAAI 2021! Presenting a spatio-temporal hypergraph attention network to rank profitable stocks. Work w/ Vanderbilt University, USA
{Nov} Received an outstanding paper award @ COLING 2020! [Designated Top-16 of 2319 submissions]
{Nov} Attend my virtual talk/presentation at EMNLP 2020!
{Sep} Long paper accepted with perfect review scores (5,5,5 / 5) @ COLING 2020! Studied parliamentary debates and proposed a contextual graph-based language model to analyze political speech and party cohesion
{Sep} Long paper accepted at the 2020 EMNLP main track! We use natural language, historic prices, and company relationships to forecast stock movements and outperform SOTA
{Aug} Collaborating with Tyler Derr (CS PhD Michigan State University) at Vanderbilt University, USA
{Aug} Long paper accepted at the IEEE ICDM 2020! [AR: 91 of 930 submissions]
{Jul} Talking at the conference on AI & perception engineering w/ CEERI, Pilani. Come visit!
{Apr} Shifting full-time as an MLE @ MIDAS IIIT-Delhi with Dr. Rajiv Ratn Shah & collaborators across Tower Research, Bloomberg NYC, NUS Singapore, MIT!
{Mar} Successfully built a driver drowsiness detection system. Excited to see it in vehicles on the Indian roads!
2019
{May} Collaborating remotely as a researcher with Dr. Rajiv Ratn Shah (CS Professor and Director -- MIDAS Lab IIITD)
{Mar} Collaborating with the High-Speed Computer Vision enabled IoT lab at Hiroshima University, Japan
{Feb} Will be talking about intelligent video analytics with NVIDIA @ CEERI Delhi. Come visit to discuss your use cases and learn about TensorRT optimization, DeepStream SDK, video codec, and lots more w/ lab sessions!
{Jan} Collaborating on industrial AI projects with LG Soft (face recognition), Cognizant (activity monitoring), & Samsung (fall detection)
2018
{Sep} Working on deep learning for computer vision with Dr. Sanjay Singh and Dr. Anil Saini
{Aug} Joining the Intelligent Systems Group for AI research at CSIR-CEERI, Pilani, India. Excited to collaborate with some of India's best scientific brainpower!
{Aug} Received a prestigious national research fellowship from the Government of India!
{Aug} Graduated w/ department rank #4 for academic performance in the final year
{Apr} Runner-up (110 teams) at Dr. Homi Bhabha National Innovation Challenge! Presented 2 solutions 1) To monitor rural development using satellite images, and 2) To predict the Bombay stock exchange using ML
{Feb} Spent a thrilling winter interning at the Indian Space Research Organization