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Sparsh Bhogavilli Email & Phone Number

Machine Learning @ TechStars Start-up | AI for Building Decarbonization at Alabama Mobility and Power Center
Location: Birmingham, Alabama, United States 13 work roles 2 schools
1 work email found @umd.edu LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

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Role
Machine Learning @ TechStars Start-up | AI for Building Decarbonization
Location
Birmingham, Alabama, United States
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Sparsh Bhogavilli is listed as Machine Learning @ TechStars Start-up | AI for Building Decarbonization at Alabama Mobility and Power Center, a company with 201 employees, based in Birmingham, Alabama, United States. AeroLeads shows a work email signal at umd.edu and a matched LinkedIn profile for Sparsh Bhogavilli.

Sparsh Bhogavilli previously worked as Machine Learning Engineer at Techstars and Machine Learning Engineer at Edenic Energy. Sparsh Bhogavilli holds Master'S, Robotics from University Of Maryland.

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{first_initial}{last}@umd.edu
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Profile bio

About Sparsh Bhogavilli

I am currently working at Edenic Energy Inc, a TechStars '24 start-up, on Machine Learning to identify outdated buildings & predict missing information about them. I also developed the back-end & front-end components in a Node.js, Tailwind CSS & React stack to integrate a GPT bot into the Web app.Previously I worked at NIST with the 1) Building Energy & Environment Division to develop a Reinforcement Learning-based controller for HVAC systems and 2) with the Intelligent Systems Division on developing a Robotics Simulator platform.During my Master's in Robotics at the University of Maryland, College Park, I worked with Prof. Pratap Tokekar on Multi-Robot Systems. My work involved State Estimation using Grid-based filters (Bayesian Filtering), dynamically modelling the sensor noise and Tree-search based path planners. I also simulated robots using ROS + Gazebo.In the 2 years before I started my Master's, I worked on Deep Learning for Computer Vision applications (Object Detection & Action Recognition) and Path Planning for a fleet of AMRs for warehouse automation.

Current workplace

Sparsh Bhogavilli's current company

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Alabama Mobility and Power Center
Alabama Mobility And Power Center
Machine Learning @ TechStars Start-up | AI for Building Decarbonization
Tuscaloosa, AL, US
Website
Employees
201
AeroLeads page
13 roles

Sparsh Bhogavilli work experience

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Machine Learning Engineer

Current

New York City, New York, US

- Edenic Energy Inc. (the start-up I am currently working at) is a part of the 2024 cohort of the TechStars Alabama EnergyTech Accelerator in Birmingham, Alabama. - Kindly look at the next tile in the section for a description of my work at Edenic Energy.

Sep 2024 - Present

Machine Learning Engineer

Current

- Responsible for all things Data & Machine Learning as a Founding Engineer in the early-stage Climate Tech startup focused on Building Decarbonization.- I also went beyond my job responsibilities to help the start-up with back-end & front-end development in the React, Node.js and Tailwind CSS stack, Data Collection including making phone calls to offices.

Sep 2024 - Present

Associate Researcher

Gaithersburg, MD, US

ML for Modelling & Controlling HVAC Systems:- Working with the Intelligent Building Agents Lab at NIST on reducing the Energy consumption of HVAC equipment in buildings.- Used ML techniques to model the Outdoor Air Emulator - which generates repeatable weather conditions for the HVAC unit.- Developed a Reinforcement Learning based controller capable of.

Dec 2023 - Sep 2024

Robotics Engineer

Gaithersburg, MD, US

Robotics Simulation platform:- Developing the simulation platform for the Agile Robotics for Industrial Automation Competition (ARIAC) in the (new) Gazebo Harmonic & ROS2.- Enhanced the previous version of the simulator by adding new features.- Ported the existing functionality from Gazebo-Classic to the (new) Gazebo Harmonic.

Jul 2023 - Sep 2024

Graduate Research Assistant

College Park, MD, US

- In this project, an observer robot must actively track an adversarial robot with noisy sensors while having no knowledge about the adversary’s actions (Decision Making Under Uncertainty).- Employing an MLP to estimate the noise in sensor measurements.- Currently implementing a path planner based on Bayesian filtering and tree-search techniques.- The work.

Aug 2022 - Aug 2023

Graduate Student Volunteer (Research)

College Park, MD, US

- Here, a ground rover with no sensors localizes in a known map with a drone's help and navigates to its goal.- Used ArUco markers to estimate the rover's pose from a drone in Gazebo and ran an experiment to find the Pose Estimation error as a function of marker-camera relative pose: - Flew the drone over the marker and recorded the flight in a Rosbag and.

Sep 2021 - Aug 2022

Robotics Software Engineer

Newark, New Jersey, US

- Worked on path planning for a fleet of AMRs in warehouse scenarios. Our warehouses had narrow aisles but the existing literature worked only for sufficiently wide aisles. So, I used an existing method as a base & modified it for our use-case.- The resultant method was able to produce feasible plans with minimal wait times for the robots.- In a warehouse.

Feb 2021 - Aug 2021

Computer Vision Engineer

Bangalore, Karnataka, IN

- The company works on imaging for defense applications and my project was on multi-task learning of Object Detection + Attribute prediction on thermal imagery from the battlefield.- Modified a YOLO’s final layer to include predicting the object’s orientation & trained it with cross-validation.- Converted the trained model from PyTorch -> ONNX -> TensorRT.

Oct 2020 - Feb 2021

Computer Vision Engineer

San Ramon, CA, US

- I worked on a Deep Learning for Computer Vision application (Object Detection) in warehouse scenarios & deployed the solution on Edge devices.- Created a custom dataset and cleaned duplicate images using image hashing and irrelevant images using pre-trained object detectors and oversaw the dataset’s labeling process.- Trained a Convolutional Neural Net.

Jun 2020 - Oct 2020

Research Assistant

Hyderabad, Telangana, IN

- Curated a dataset of RGB videos for Action Recognition.- Performed KNN classification to determine the most suitable network for our dataset: - Selected a few off-the-shelf Action Recognition networks and passed our videos through them to extract features. - Divided the dataset into 80-20 train-test splits & trained separate KNN Classifiers for the.

May 2019 - Apr 2020

Undergraduate Technical Intern

Santa Clara, California, US

- I was part of the Floor Planning team in the Physical Design group.- Worked on improving the quality of assessing the die area utilized by interconnecting metal layers in a chip.- Developed various scripts to calculate the run time of die area utilization computations.- Implemented various checker scripts to validate the automated flows of Floor planning.

Jul 2018 - Dec 2018

Technical Intern

Mumbai, Maharashtra, IN

- I did a study of various instruments (like Load Cells, controlled valves, etc) used in the Steel Melting Shop - 2 of JSW Steel's Steel plant in Toranagallu, Bellary, Karnataka.- I also spent time in their control rooms studying the PLC Controllers & the ladder logic that automates the processes of their Steel Melting Shop.

May 2017 - Jul 2017
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2 education records

Sparsh Bhogavilli education

Master'S, Robotics

University Of Maryland

Bachelor Of Engineering, Electronics & Instrumentation Engineering

Birla Institute Of Technology And Science, Pilani
FAQ

Frequently asked questions about Sparsh Bhogavilli

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

What company does Sparsh Bhogavilli work for?

Sparsh Bhogavilli works for Alabama Mobility and Power Center.

What is Sparsh Bhogavilli's role at Alabama Mobility and Power Center?

Sparsh Bhogavilli is listed as Machine Learning @ TechStars Start-up | AI for Building Decarbonization at Alabama Mobility and Power Center.

What is Sparsh Bhogavilli's email address?

AeroLeads has found 1 work email signal at @umd.edu for Sparsh Bhogavilli at Alabama Mobility and Power Center.

Where is Sparsh Bhogavilli based?

Sparsh Bhogavilli is based in Birmingham, Alabama, United States while working with Alabama Mobility and Power Center.

What companies has Sparsh Bhogavilli worked for?

Sparsh Bhogavilli has worked for Alabama Mobility And Power Center, Techstars, Edenic Energy, National Institute Of Standards And Technology (Nist), and University Of Maryland.

Who are Sparsh Bhogavilli's colleagues at Alabama Mobility and Power Center?

Sparsh Bhogavilli's colleagues at Alabama Mobility and Power Center include Eric Sonnier, Egle Monaldi, Balint Bene, Julian Swain, and Gramado Startup Weekend.

How can I contact Sparsh Bhogavilli?

You can use AeroLeads to view verified contact signals for Sparsh Bhogavilli at Alabama Mobility and Power Center, including work email, phone, and LinkedIn data when available.

What schools did Sparsh Bhogavilli attend?

Sparsh Bhogavilli holds Master'S, Robotics from University Of Maryland.

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