https://dream.weekday.works/redirectToHiringCopilotExtension/

Working on automating the prediction of patient case severity from medical reports using Natural Language Processing - in particular, Transformer based language models.

• Developed AI-powered interactive learning products as part of a team of 10 to improve users' educational experience
• Improved accuracy of SnapBook (a tool to fetch supplementary video learning material from a user administered capture of text) by 6%, leading to more relevant recommendations for users
• Reorganized educational knowledge structure of organization through graphical clustering and merging of semantically similar concepts, alongside one other team member
• Presented weekly in scrum meetings with Chief Technical Officer to gauge progress and identify next steps

Davidson Kempner Capital Management

Qatar Investment Authority

Owl Ventures

Tiger Global Management

Times Internet

Aarin Capital

Verlinvest

Sofina

Tencent

CPP Investments

General Atlantic

Naspers

The Chan Zuckerberg Initiative

Peak XV Partners

Lightspeed India

Sumeru Ventures

Vitruvian Partners

Ams Investment Management

Master Bond

Sasa Holdings

Red Spring Innovation Partner

Oxshott Capital

BlackRock

ARK Ncore

Asmaan Ventures

IIFL Finance

Edelweiss

Verition Fund Management

TimeCapita

XN Exponent

Neuron Aggregator Holding Trust

Mirae Asset Capital Markets

Epic

GenGlobal Bright

Mirae Asset Venture Investments

Blackstone

Phoenix Rising Investments

Eric S Yuan

Oryx Group

Bin Yuan

Eight Roads Ventures

Alteria Capital

Learn2

Helion Venture Partners

MIH Ventures

Kaizenvest

Ramakant Sharma

Arison Holdings

Baron Funds

Macquarie Group

Tarsadia

B Capital

T. Rowe Price

Silver Lake

DST Global

Alkeon Capital Management

Bond Capital

Panayotis Sparaggis

Sands Capital Ventures

Timesgroup

DIC India

Brand Capital

Charles Schwab Investment Management

Innoven Capital

Ramya Bhaskar

Nishant Patni

Mendel Chuang

Pramod Sharma

Saurabh Mundra

Hussain Tambawala

Navin Balan

Priya Mohan

Mohandas Pai TV

Jerome Scholler

Mrinal Mohit

Pravin Prakash

Vinay MR

Sonal Singh

Neha Kajaria

Riju Raveendran

Sahil Sheth

Hiriyanna Shashikiran

Pranshu Patni

Derek L Langton

Marcus Hohenwarter

Michael Borcherds

Stephen Jull

Upfront Ventures

K9 Ventures

XG Ventures

J.F. Shea Co

Accela

GeoGebra

Houghton Mifflin Harcourt

Mattel

Disney Accelerator

Hello English

App-based platform providing multi-disciplinary learning solutions for students. It provides coaching for competitive entrance exams like IIT-JEE, CAT, UPSC, GMAT, GRE, engineering or medical, and school-curriculum-based courses for students. It also offers online courses and tablet-based classes with multi-test and assessment solutions, personal feedback, and in-depth analysis. It also offers study materials and digital textbooks. Its mobile app is available for Android and iOS devices.

Online platform offering multi-disciplinary learning solutions for students

Developed Django REST APIs aimed towards AI based smart hiring, such as rating human communication, scoring of subjective answers, eye-contact detection (OpenCV). I also built a resume parser in Python using block identification and Named Entity Recognition.

My responsibilities included data retrieval, preprocessing, researching and experimenting with Machine Learning solutions, optimizing the best solutions, and packaging them as Django APIs, with well documented code.

• Conducted research in a group of 3, on Deception Detection in humans, employing a linguistic and Natural Language based approach
• Constructed ML classifiers to categorize text as truthful or deceptive, based on linguistic features such as LIWC, n-grams, tf-idf, achieving an accuracy of 90% in detecting deceptive online reviews
• Experimented with Deep Learning models such as Convolutional Neural Networks and LSTM networks to achieve an accuracy of 92% in detecting deceptive reviews
• Implementation done in Python, using libraries NLTK, gensim, sklearn, as well as TensorFlow.
• Presented research to polygraph experts from Ministry of Defence, Singapore, as one of three chosen speakers
• Published work in peer-reviewed journal

I worked with a Mathematics research group on a project on Piezoelectric properties. I developed scripts to automate the creation of various electrode/ ceramic configurations and optimized 3D mesh structures.
I used softwares OpenCASCADE and gmsh, and wrote programs in C and C++

• Managed and maintained organizational databases for the Manipal Local committee of IAESTE India. 
    • Made recommendations to the National Exchange Committee during the offer exchange season, driven by predictive analysis of data from previous years. 
    • Contributed to executive organizational decisions and the planning of university-wide, and national events.

Developed a web application for the storage and analysis of data on cricket players and matches, using MySQL and Microsoft Visual Studio (C# language).

ML @ Onehot Labs | CS @ Columbia

Aiman Shariff