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Rho Canada Partners

Western Technology Investment

iGan Partners

Victor Avenue Capital

HIGHLINE

Meta Discover is a provider of biomedical research discovery tools for papers, biomedical science research material, and content. It offers customized research content in real-time. The company uses machine learning to map biomedical research in real-time with a comprehensive view of the topic-specific to the researcher field and topic emerging bet

Provider of biomedical research discovery tools for papers, biomedical science research material and content

Instagram Shopping Whole Page Ranking: 
Ranking (ML) Strategy, RoadMapping, Cross-Functional and Partner Teams' Collaboration, Onboarding New Shopping Modules, Feature Engineering, ML Model Training, A/B Testing, Model Deployment, Onboarding other Engineers, Mentoring.

Created and installed an automated question paper selection tool for National Testing Agency (NTA) Director. Applied state of the art text and image Deep Learning techniques - RNNs and CNNs - via transfer learning. Used for selecting JEE Mains, JEE Advanced, NEET question papers of similar difficulty.

Kalaari Capital

Lightbox

Innoven Capital

East River Partners

Spruce Investment Advisors

Toshvin Analytical

Siddharth Talwar

Spruce Street Investments

Size 7 Capital

Best Pearl Holding

Aditi Kothari

Philipp Freise

Vir Advani

Jeremy Wenokur

Shiv Puri

Gaurav Talwar

Anshuman Thakur

K Sethuraman

Rohit Shah

Kiran Thomas

Pankaj Mohan Pawar

Arvind Tiwari

Raj Mullick

Sudhakar Saraswatula

L V Merchant

AI-based platform offering test preparation solutions for students. It offers mock tests for exams such as JEE, NEET, NITSAT, and more along with courses for various subjects. Additionally, it also offers NCERT textbook solutions for students. The mobile app is available for Android and iOS users.

AI-based platform offering test preparation solutions for students

Built a B2B product for automated detection of the taxonomy for an academic question. Used tf-idf and xgboost to find the subject, chapter, topic, concepts of a question. Demonstrated better performance than Academic Faculty.

Budget Allocation and bidding strategy using Polynomial Regression, Locally Weighted Linear Regression, Nearest Neighbour, Neural Networks, and ensembling.
CTR estimation using Logistic Regression, Random Forests, Linear Regression

iQuanti provides digital marketing services for organic and paid search, analytics, CRO, social media and more. It offers solutions in demand generation, analytics and strategy, experience optimization and methodologies. It provides services for search engine marketing. conversion rate, display and paid media and web analytics. Customers include American Express, HomEquity Bank, Staples and SallieMae.

Mobile ad campaign optimization using Locally weighted Linear Regression, Logistic Regression, Naive Bayes.

Greater Pacific Capital

Cisco

Telstra Ventures

Global Brain

Sequoia Capital

Canaan

Akshaya Prasad

Zhenqiang Tan

Yicheng Huang

Tao Jun

Prasad Akshaya

OurCrowd

J P Morgan

Partners For Growth

Cisco Investments

Wolfpack Ventures

MARS Growth Capital

Near is the world's largest source of intelligence on people, places, and products.

Provider of application development services

Doctoral student in the Chair for Efficient Algorithms at the Technical University of Munich, supervised by Prof. Harald Räcke. (thesis to be submitted)

Research:
I designed approximation algorithms for constructing graph sparsifiers - a simple graph, e.g. a tree, that approximates the cut and flow structure (in the context of multicommodity demand flows) of a given graph upto polylogarithmic factors.
I worked on designing faster algorithms for solving max flow in directed graphs, and in general for linear programming.

Main TA for:
Efficient Algorithms and Data Structures - I (B.Tech./M.Tech.)
(160-230 students. I designed and evaluated assignments and exams, co-ordinated other tutors, took tutorials)
Efficient Algorithms and Data Strucutres - II (B.Tech./M.Tech.)
(Approximation Algorithms and Linear Programming)

Course Instructor for Algorithms and Data Structures courses for B.Tech.(ICT), M.Tech.(ICT) and M.Sc.(IT) students.

Research in Graph Theory - finding bounds for a dimensional property of graphs.
Research in Algorithms - matching algorithms in bipartite graphs.