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Abhishek Agarwal Email & Phone Number

Software Engineer, Scale-out @ Tenstorrent at Tenstorrent
Location: Santa Clara, California, United States 6 work roles 2 schools
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Role
Software Engineer, Scale-out @ Tenstorrent
Location
Santa Clara, California, United States
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Abhishek Agarwal is listed as Software Engineer, Scale-out @ Tenstorrent at Tenstorrent, a company with 58 employees, based in Santa Clara, California, United States. AeroLeads shows a matched LinkedIn profile for Abhishek Agarwal.

Abhishek Agarwal previously worked as Senior Software Engineer at Tenstorrent and System Software Engineer at Qualcomm. Abhishek Agarwal holds Master Of Science - Ms, Computer Science from University Of Chicago.

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Tenstorrent

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Profile bio

About Abhishek Agarwal

I am working on the networking fabric to enable scale-out capabilities for Tenstorrent hardware.Before that, I worked at Qualcomm for about 2 years where I developed kernel-mode drivers to enable communication between different subsystems on an SoC for various mobile, compute, and automotive chipsets.I graduated with an MS in Computer Science from the University of Chicago, specializing in High-Performance Computing. I am keenly interested in developing low-level software and building robust systems that scale well.Interests- High-Performance Computing, Distributed Systems, Computer Architecture, Operating Systems, CompilersTechnical Skills - C, C++, Python, GoLang, Haskell, SQL, Git, AWS, Docker, Embedded systems, CUDA, MPI, OpenMPGithub - https://github.com/agabhi017

Listed skills include Functional Programming, R, Amazon Web Services, Data Science, and 31 others.

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Tenstorrent
Tenstorrent
Software Engineer, Scale-out @ Tenstorrent
toronto, ontario, canada
Website
Employees
58
AeroLeads page
6 roles

Abhishek Agarwal work experience

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Senior Software Engineer

Current

Santa Clara, California, United States

I am working on the networking fabric to enable scale-out capabilities for Tenstorrent hardware.

Nov 2024 - Present

System Software Engineer

San Diego, California, United States

  • Worked on writing kernel-mode drivers to enable communication between different sub-systems on an SoC. Was also involved in system-wide initiatives to better align the software with organizational goals.
  • Developed and contributed to IPC drivers for Windows, Qualcomm RTOS, and Zephyr RTOS, for 6 mobile, compute, and automotive chipsets.
  • Designed and prototyped a Distributed Computing Framework for running services in a distributed fashion on an SoC such as a distributed NoSQL database and a Capability Advertisement service.
  • Collaborated with cross-functional teams and addressed architectural differences to enable IPC for RISC-V based subsystems.
  • Led the design and implementation of a highly scalable system control framework compliant with ARM’s SCMI specification.
  • Implemented a memory allocation scheme to reduce memory corruption; designed experiments to make data-driven decisions.
Jan 2023 - Nov 2024

Software Engineer Intern

San Diego, California, United States

  • Worked with the Core Platform Kernel team on Qualcomm Real-Time Operating System
  • Analyzed memory and performance trade-offs of deploying new process loading and linking schemes on the hexagon DSP
  • Implemented a prototype of a run-time loader (rtld) library utilizing GNU hashing, resulting in 50% faster run-time linking
  • Presented a collection of best practices on creating shared objects for efficient loading and linking of dynamically linked processes
  • Developed a profiling tool to auto-generate binaries based on user inputs and collect build and run-time performance metrics
  • Integrated the tool with the existing build system and regression testing framework to conveniently stress test new features
Jun 2022 - Sep 2022

Risk Analyst

Bengaluru, Karnataka, India

  • I was responsible for building Fraud Risk management framework for the credit offerings (Buy Now Pay Later and EMIs) of the FinTech division. I also led the development of Credit risk framework (Underwriting and.
  • Collaborated to design and launch the first version of transaction authorization framework for real-time authorization and monitoring of ∼2M monthly Credit transactions
  • Localized 5X risky customers through network graphs and established routine pruning processes
  • Built databases hosting historical credit performance and shopping trends, accelerating routine analyses by >90%
  • Developed scripts to scrape data from the Internet such as device information, IP databases, etc., to augment internal databases for enhanced fraud managementFlipkart Wholesale Easy Credit (Working Capital credit for.
  • Led the development of credit underwriting and fraud mitigation strategies for the new wholesale business launch
Jul 2019 - Oct 2020

Business Intelligence Analyst, Investment Products Group

Mumbai Area, India

  • I was responsible for building data-driven strategies for insurance products (includes life and general insurance). I worked on launching campaigns and supporting business strategies through statistical.
  • Developed a logistic regression model to identify customers with the lowest medical risk by predicting the probability of a claim
  • Identified customers eligible for the offer on the basis of propensity, persistency, medical, and financial assessments
  • The program minimized the documentation required for underwriting and reduced the policy issuance time by 90%Profiling of Life Insurance customers:
  • Designed a clustering-based framework to detect outliers in insurance sales using t-SNE and Partitioning Around Medoids
  • Developed an R-shiny app to dynamically cluster and visualize customers’ attributes as per user requirements using K-meansFinancial planning of 0.4 billion USD Life and General Insurance business:
Jul 2018 - Jul 2019

Ai Research Intern

Pune Area, India

  • Reinforcement Learning (RL) of Optimal ControlI assessed the viability of using RL to replace conventional control systems with adaptive model-free closed-loop control on the following two use cases. The research work.
  • Trained an ’Artificial Pancreas’ capable of maintaining normal glucose levels with minimal interference in patient’s lifestyle
  • Simulated Q-learning, Dyna-Q, Q(λ) and Policy Gradient on two meal models and experimented with multiple reward functions
  • Formulated evaluation metrics and tuned parameters in presence of realistic disturbances in the amount and timings of mealOptimization of Fuel Consumption in a Hybrid Electric Vehicle (HEV)
  • Trained a controller to optimize fuel consumption by learning optimal load distribution between the engine and electric motor
  • Implemented Q-learning and Q(λ) on an HEV power-train model and used ARMAX time-series model for partial state estimation
May 2017 - Jul 2017
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2 education records

Abhishek Agarwal education

Master Of Science - Ms, Computer Science

GPA: 3.9/4.0 Specialization: High-Performance Computing Coursework: Advanced Programming Parallel Programming Algorithms Databases Cloud.

Bachelor Of Technology - Btech, Chemical Engineering, 8.5/10

Activities and Societies: Dramatics Club, Chemineers SocietyCoursework: Computer Science: Natural Language Processing (NLP), Fundamentals.

FAQ

Frequently asked questions about Abhishek Agarwal

Quick answers generated from the profile data available on this page.

What company does Abhishek Agarwal work for?

Abhishek Agarwal works for Tenstorrent.

What is Abhishek Agarwal's role at Tenstorrent?

Abhishek Agarwal is listed as Software Engineer, Scale-out @ Tenstorrent at Tenstorrent.

Where is Abhishek Agarwal based?

Abhishek Agarwal is based in Santa Clara, California, United States while working with Tenstorrent.

What companies has Abhishek Agarwal worked for?

Abhishek Agarwal has worked for Tenstorrent, Qualcomm, Flipkart, Axis Bank, and Tata Research Development And Design Centre (Trddc).

Who are Abhishek Agarwal's colleagues at Tenstorrent?

Abhishek Agarwal's colleagues at Tenstorrent include Dusan Damjanovic, Bojana Zamurović, Chenyu L., Krishna Pranay Reddy, and Djordje Ivanovic.

How can I contact Abhishek Agarwal?

You can use AeroLeads to view verified contact signals for Abhishek Agarwal at Tenstorrent, including work email, phone, and LinkedIn data when available.

What schools did Abhishek Agarwal attend?

Abhishek Agarwal holds Master Of Science - Ms, Computer Science from University Of Chicago.

What skills is Abhishek Agarwal known for?

Abhishek Agarwal is listed with skills including Functional Programming, R, Amazon Web Services, Data Science, Algorithms, Autocad, Aspen Plus, and Predictive Modeling.

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