AeroLeads people directory · profile

Sidharth Sharma Email & Phone Number

Grad Student at Carnegie Mellon University
Location: Pittsburgh, Pennsylvania, United States 6 work roles 3 schools
LinkedIn matched
✓ Verified May 2026 3 data sources Profile completeness 86%

Contact Signals

LinkedIn Profile matched
3 free lookups remaining · No credit card
Role
Grad Student at Carnegie Mellon University
Location
Pittsburgh, Pennsylvania, United States

Who is Sidharth Sharma? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Sidharth Sharma is listed as Grad Student at Carnegie Mellon University based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a matched LinkedIn profile for Sidharth Sharma.

Sidharth Sharma previously worked as Graduate Research Assistant at Carnegie Mellon University and Graduate Research Assistant at Carnegie Mellon University. Sidharth Sharma holds Master'S Degree, Computer Engineering from Carnegie Mellon University.

Profile bio

About Sidharth Sharma

Checkout my website to read my blogs: https://bit.ly/sidcmu Welcome to my Linkedin where I am excited to share my passion for computer engineering at Carnegie Mellon University. I am currently immersed in the challenging and rewarding task of building advanced recommender systems, as well as leading the Kaggle Club to assist students in applying machine learning techniques to real-world problems.In addition to my studies, I have honed a diverse set of skills in backend software development, hardware CPU/accelerator design, and cloud technologies. I am also an avid learner, always seeking to expand my knowledge and stay current in the field through reading books such as Designing Machine Learning Systems, Deep Learning with Python and also some light reads like Black Hole Survival Guide, and Antifragile.

Listed skills include Matlab, Java, Eagle Cad, Digital Electronics, and 6 others.

6 roles

Sidharth Sharma work experience

A career timeline built from the work history available for this profile.

Graduate Research Assistant

Pittsburgh, PA, US

  • Developed critical golang module within a learning management software platform to manage and update the state of domain objects based on time and within-platform events.
  • Created and debugged a GitHub CI/CD workflow for nightly build and deployment of the platform backend.
May 2022 - Sep 2022

Graduate Research Assistant

Pittsburgh, PA, US

  • Implemented and compared matrix factorization and neural collaborative filtering-based recommendation systems on ThaiBev data, the neural-network based method performed better on all the metrics.
  • Applied machine learning algorithms on sales and marketing data which helped increase the engagement on promotions by 2.4 times.
May 2022 - Sep 2022

Software Development Engineer

Santa Clara, CA, US

  • Led the design of Server Health Auto Remediation Process identifying a problem with the garbage collection process for the puppet servers.
  • Developed various components of Instance Automation Debugger tool in python which reduced the failed instance debugging time by 30 - 45 minutes.
  • Communicated across SRE and System Engineering to integrate the Python debugger tool to their workflow, which improved their debugging workflow for failed instances.
Apr 2021 - Jan 2022

Deep Learning R&D Engineer

Santa Clara, California, US

  • At Intel Edge.AI he worked on:
  • Prototyped and Released Deep learning Chip IP on FPGA and Emulation Platforms.
  • Created RTL design to make multi-core systems flexible for FPGA.
  • Increased test coverage of python-based FPGA instance allocation application from 70% to 95%.
  • Developed automated flow for FPGA IP compilation checks and SW driver level tests using Python and Jenkins. This program added >300 tests, to check the sanity of FPGA IP, prior to this only 5-10 tests were run.
Jun 2019 - Apr 2021

Summer Intern

Wilsonville, OR, US

Designing and verifying complex electronic circuits using mentor graphics software tools with verilog and system verilog.1. Verifying non-pipelined RISC processor. - Created full testbech from scratch using Generator, Scoreboard, Driver classes in testbench. - Created randomized packet(input data) sequence which allows us to use the concept of coverage.

May 2018 - Jul 2018

Summer Intern

Hyderabad, Telangana, IN

  • I was a part of the team which had undertaken the project of making a wireless notice board.
  • My role in the team was to write the code for connecting Arduino to GSM module through which the message for the display was received.
  • I had also implemented UART on FPGA as a side project during the internship
May 2017 - Jul 2017
3 education records

Sidharth Sharma education

Master'S Degree, Computer Engineering

Carnegie Mellon University

Bachelor Of Engineering, Computer Engineering In Mobile Systems

Technological University Dublin

Higher Secondary, Science

Modern School,Barakhamba Road
FAQ

Frequently asked questions about Sidharth Sharma

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

What is Sidharth Sharma's role at their current company?

Sidharth Sharma is listed as Grad Student at Carnegie Mellon University.

Where is Sidharth Sharma based?

Sidharth Sharma is based in Pittsburgh, Pennsylvania, United States.

What companies has Sidharth Sharma worked for?

Sidharth Sharma has worked for Carnegie Mellon University, Servicenow, Intel Corporation, Mentor Graphics, and Defence Research And Development Laboratory (Drdl) - Drdo.

How can I contact Sidharth Sharma?

You can use AeroLeads to view verified contact signals for Sidharth Sharma, including work email, phone, and LinkedIn data when available.

What schools did Sidharth Sharma attend?

Sidharth Sharma holds Master'S Degree, Computer Engineering from Carnegie Mellon University.

What skills is Sidharth Sharma known for?

Sidharth Sharma is listed with skills including Matlab, Java, Eagle Cad, Digital Electronics, Verilog, Analog Circuit Design, C++, and C.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.