Nov 2023 – Dec 2024 · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

• Forecasting models for compute resources for efficient data center operations
• Distributed Training of Deep Learning Models on AMD GPUs
• Architecting Information Retrieval and Q&A systems

Jun 2023 – Nov 2023 · 5 mos · Bengaluru, Karnataka

• Learning to code with Rust
• Catching up on reading

Sep 2021 – May 2023 · 1 yr 8 mos · Bengaluru, Karnataka, India

• Building the Guardrails for the New Data Economy.
• Tinkering on various aspects of the data pipeline for understanding and classifying content.
• Building ML pipelines and Ops using Temporal.io, Typescript, Python.

Mar 2020 – Sep 2021 · 1 yr 6 mos

• Working with Data Architects, Data Scientists and Delivery heads to ensure an end-to-end ML/AI platform to improve the experience for our Workplace Investment Solutions customers.

Feb 2018 – Mar 2020 · 2 yrs 1 mo

• Working on developing and deploying ML/AI solutions to tackle hard problems in Time Series Analysis, NLP, and Constraint Optimization. Also working on making Neural Nets Interpretable and Bias-free
• Attention Networks
• Bayesian DL
• AWS/Tensorflow/PyTorch/Python

Mar 2017 – Jan 2018 · 10 mos · Bengaluru Area, India

• Rider Access DS
• Creating data-driven products to improve rider experience in emerging markets
• Rider experience analysis in emerging markets and identify key areas of improvement for in-app experience
• India Growth -
• Growth trajectory for India rider market, insights into payment instruments for India
• Driver growth for India market. Driver earnings improvement using suggestion cards and measurement of experiment impact
• Measuring impact of campaigns on various cities using Bayesian analysis

Apr 2015 – Feb 2017 · 1 yr 10 mos · Bengaluru Area, India

• Improving the Grocery Home Shopping experience
• Optimized in-store picking for grocery orders using ACO/constrained VRP. 1.5~2X improvement in pick rates
• Created algorithms and workflow for express grocery delivery for Walmart US (currently live in over 400 stores in the US), spawning a million+ dollar business line (Express Grocery)
• Reference - patents listed below.

Oct 2013 – Apr 2015 · 1 yr 6 mos · Bengaluru Area, India

• Leading an enthusiastic team of Data Scientists in the Financial Domain.
• Building complex machine learning models using big data tools
• Worked on Markov processes, graph clustering/community detection, random forests/boosting techniques

Feb 2011 – Sep 2013 · 2 yrs 7 mos · Bangalore, India

• Working on Query-Ad Relevance systems on the Bing AdCenter Platform

Aug 2009 – Feb 2011 · 1 yr 6 mos

• High Performance Computing
• Mutli-core/Multi-threaded computing
• Distributed Computing
• Scheduling algorithms
• Performance Profiling using Google Perf Tools, Intel vTune

Jan 2007 – Jul 2009 · 2 yrs 6 mos

• Design of algorithm solutions on FPGA/GPU/CPU
• Animation/Image Rendering, Data Clustering, Music Search, Bioinformatics Algorithms

Nov 2002 – Jul 2003 · 8 mos

• * Software Defined Radio - development on FPGA, Java

Mar 2001 – Oct 2002 · 1 yr 7 mos

• Research on optimization theory, data mining, machine learning
• Development of algorithms using Fuzzy Set theory, PetriNets, Evolutionary algorithms

Jun 2000 – Feb 2001 · 8 mos

• * Algorithm development for knowledge mining using Neural Networks, Fuzzy Set Theory