Senior Staff Applied Scientist @ Faire | Ex-Amazon | Stanford | IIT Madras
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I lead research and development of query recommendation algorithms at Amazon Search. If you have searched on Amazon, you have used something I built. I currently focus on LLM powered personalized query recommendation for different Amazon services. I have a graduate degree in Computational and Applied Mathematics where my primary focus was NLP, Machine Learning and High Performance Computing.
Stanford University
Master's degree, Computational and Applied Mathematics
January 1, 2014 – January 1, 2016
Indian Institute of Technology, Madras
Bachelor of Technology (B.Tech.), Aerospace
January 1, 2010 – January 1, 2014
Faire
Senior Staff Applied Scientist
January 1, 2026 – Present
San Francisco, CA
A9.com
Lead Applied Scientist
June 1, 2016 – January 1, 2026
San Francisco Bay Area
Stanford University
Teaching Assistant
September 1, 2015 – June 1, 2016
California
Thomson Reuters
Quantitative Research Intern
June 1, 2015 – September 1, 2015
San Francisco Bay Area
Stanford University
Research Assistant
January 1, 2015 – June 1, 2015
San Francisco Bay Area
National Chemical Laboratory
Research Intern
May 1, 2013 – July 1, 2013
Pune Area, India
Neural Network for Named Entity Recognition
November 1, 2015 – Present
- Built a neural network from scratch to perform the task of classifying words into different categories like person, location, organization, quantities etc in Java. - Trained on around 200,000 examples and tested with an accuracy of 95.43% and an F1 score of 0.83.
Question answering bot using Wikipedia
November 1, 2015 – Present
- Developed 2 models to answer eighth grade science questions using neural networks and search algorithms. - Tested with an accuracy of 62% on fact based questions and 37% overall accuracy.
Distributed Minimum Spanning Tree
May 1, 2015 – Present
Developed 3 algorithms to distribute the computations involved in finding minimum spanning tree of a given undirected graph using SPARK. These algorithms built on classical Kruskal's and Prim's algorithm with modifications to achieve better performance in a distributed environment.
Wine quality prediction
March 1, 2015 – Present
Developed a classifier in R using a novel approach to predict quality of wine based on 15 different features like density, acidity, color, concentration etc. The classifier ranked in top 10 out of 60+ teams.
Bird Species Identification from Image features
September 1, 2014 – December 1, 2014
-Developed a machine learning model to classify species of a bird from its image features using Python. -The model obtained an accuracy of 57% after training on a dataset of 12000 images and 200 species classes. -The project was well received and featured in the Stanford alumni magazine.
2D Parallel Spectral Volume Solver for fluid flows
June 1, 2013 – April 1, 2014
Developed a parallel C++ program to solve 2 dimensional conservation laws in fluid flows using Spectral Volume Method. SVM is a high-order, advanced Finite Volume Method which has good shock capturing capability. It was used to simulate a supersonic flow over a step and properties of shock reflection were studied.
Aerodynamic Design
January 1, 2013 – Present
The aircraft Gigantic TAR (Transport and Aerial Refueller), its significance and characteristics are described in this preliminary report as a part of the Course: Aerodynamic design at IIT Madras. The aircraft planned for design is an Aerial Refueller. An aerial refueller aircraft is generally a long-range aircraft with high payload carrying capacity with applications like air-refuelling, cargo, troop and passenger transport, aero-medical evacuation missions etc. The air-to-air refuelling gives the aircrafts a longer time to stay in air i.e. Increases the range of the aircraft. Along with this the receiver aircraft can take off with larger payload.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from neural networks to fluid dynamics and distributed systems, indicates a broad intellectual curiosity and adaptability. Their experience at top-tier academic institutions and leading tech companies suggests a drive for excellence and innovation. The transition from an Applied Scientist role to a Data Analyst role would require assessing their interest in data interpretation, reporting, and business intelligence, which are not explicitly highlighted in their current experience descriptions. While the technical skills align, the specific focus of a Data Analyst role on business insights and data storytelling needs further exploration to confirm cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates strong analytical and problem-solving skills, essential for a Data Analyst role. Their experience as a Teaching Assistant at Stanford suggests good communication and mentoring abilities. The leadership role at A9.com implies strong project ownership and strategic thinking. However, without specific psychometric or communication test results, a deeper assessment of operational fit and soft skills is limited.