Jan 2025 – Present · 1 yr 2 mos · Punjab, India · Hybrid

• Punjab AI Excellence (PAI) is equipping students with the practical AI skills with a goal to provide education as a service. Our aim is to build careers and contribute to India's growing technology landscape. Our program welcomes students from diverse backgrounds, with participants from 200+ cities across India—attending live classes to learn AI fundamentals.
• We are collaborating with Akal Academies to provide AI learnings to 100+ schools. Learn more: https://yespunjab.com/akal-academies-introduce-ai-skills-for-children-in-rural-punjab/
• We believe talent exists everywhere, but opportunities do not. PAI is working to change that by bringing world-class AI education to those who need it most. This is more than a training program; it’s about empowering students to see the future they can create with technology.
• More details: https://sites.google.com/view/pai-excel/
• Register: https://forms.gle/S5ZbZjfEPzxhZR8x6

Jan 2025 – Present · 1 yr 2 mos

• I provide practical Artificial Intelligence training as part of the faculty development programs run by the E&ICT Academy (A joint initiative by Ministry of Electronics and Information Technology (MeitY) & IIT Roorkee). As part of the program, I have participated in conducting several orientations for top universities in India, exposing more than 2000 professors to practical, state-of-the-art AI skills, including Gen-AI, LLMs, IoT, AI in agriculture, and more.

Aug 2022 – Dec 2022 · 4 mos

• Former member of the science team at Amazon.
• Passionate about scalable machine learning within large-scale production infrastructure.
• Specialized in utilizing machine learning for privacy-preserving knowledge discovery from vast text datasets, often exceeding billions of records.

Jul 2021 – Sep 2021 · 2 mos · California, United States

• Architected a data-driven framework for simulating and debugging database performance.
• Recognizing the pivotal role of databases in scalable machine learning pipelines, I tackled the open challenge of simulating upcoming customer demand.
• Developed a data-driven demand simulator for database anomaly detection and conducted causal analysis in my roles.

Jun 2020 – Sep 2020 · 3 mos · Los Angeles, California, United States

• Extended hyperparameter tuning research, surpassing the current state-of-the-art.
• Proudly contributed to the official adoption of my work in designing ARM ICs for billions of devices.
• Explore my projects on GitHub : https://github.com/ARM-software/mango

Jun 2019 – Sep 2019 · 3 mos

• Developed a parallel hyperparameter tuning framework that is open-sourced and used to deploy multiple production AutoML pipelines at ARM.

Jun 2018 – Sep 2018 · 3 mos · Los Angeles Metropolitan Area

• Contributed to VLDB paper: http://www.vldb.org/pvldb/vol12/p1854-sandha.pdf
• Holds a patent: http://www.freepatentsonline.com/y2020/0151575.html
• Spearheaded the integration of data-parallel training within the database architecture.
• Implemented distributed stochastic gradient descent, incorporated database abstractions, and showcased its application in training both traditional models and cutting-edge deep neural networks.
• Received significant attention and positive feedback from the database community.

Dec 2014 – Sep 2016 · 1 yr 9 mos

• Engaged in the research and development of diverse projects. Key highlights include:
• 1. Numerical Solution of Partial Differential Equations Using Distributed Computing:
• Formulated intricate parallel and distributed algorithms to solve partial differential equations modeling physical behaviors.
• Contributed to the development of 3D Finite Element Method for simulating Geo-mechanical problems.
• Co-authored over five publications, some accepted, and others in peer-review stages.
• 2. Real-time and Historical Water-Quality Sensing, Analytics, and Data Integration:
• Led the integration and development of an IoT framework from scratch, incorporating mobile computing, Cloud Computing, and Sensor networks.
• Conducted real-time water quality data collection, analytics, and user engagement.
• Co-authored a research publication addressing challenges in developing a real-time robust platform for water quality data analysis from different sources, utilizing Cloudant NoSQL database for handling unstructured data.
• Talk: Blue Water - A Common Platform to Put Water Quality Data in India to Productive at Center for Science and Environment.
• http://www.slideshare.net/biplavsrivastava/blue-water-a-common-platform-to-put-water-quality-data-in-india-to-productive-use-by-integrating-historical-and-realtime-sensing-data
• Project Page: http://researcher.ibm.com/researcher/view_group.php?id=6924

Jul 2014 – Dec 2014 · 5 mos

• Contributed to the Oracle database team, specializing in the development of Recovery Manager (RMAN) and Zero Data Loss Recovery Appliance (ZDLRA) for the SQL database.
• Played a crucial role in enhancing database backup, restore, and recovery capabilities.
• Possesses a deep understanding of SQL database architecture and query executions.
• Involved in the design and development of various query functionalities, implementing enhanced features.

Jun 2013 – Sep 2013 · 3 mos · New Delhi Area, India

• Contributed to the High-Performance Computing team, specializing in the development of an extended finite element method for rock mechanics.
• The method, designed to understand physical phenomena like oil formation, landslides, building stability, accidents, etc., modeled the behavior of intersecting fractures or joints in rock and soils.
• Developed a parallelizable model using PetSc (Portable Extensible Toolkit for Scientific Computation) and MPI environment, coded in C++.
• Tested the model on the IBM Blue Gene Supercomputer.
• Published paper: http://www.spgindia.org/10_biennial_form/P381.pdf

Jul 2010 – Jun 2014 · 3 yrs 11 mos

• Co-founder of the Mobile Development Group at IIT Roorkee, leading the development of innovative Android applications for research projects, such as healthcare, CROWD PAN, and event planning.
• Successfully launched Android apps developed by the group, available on the Play Store.