Revanth Banala Nithyanandam
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Revanth Banala Nithyanandam Email & Phone Number

Location: Santo Domingo, Dominican Republic 17 work roles 5 schools
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Current company
Role
Founder
Location
Santo Domingo, Dominican Republic

Who is Revanth Banala Nithyanandam? Overview

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Revanth Banala Nithyanandam is listed as Founder at Stealth Startup, based in Santo Domingo, Dominican Republic. AeroLeads shows a matched LinkedIn profile for Revanth Banala Nithyanandam.

Revanth Banala Nithyanandam previously worked as AI Research Engineer at Unifycx and Founding AI Engineer at Unifycx. Revanth Banala Nithyanandam holds Master Of Science - Ms, Electrical And Computer Engineering from Carnegie Mellon University.

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Stealth Startup

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About Revanth Banala Nithyanandam

"Ideas are easy, execution is hard."

Listed skills include Leadership, Speech Recognition, Public Speaking, Linux, and 18 others.

Current workplace

Revanth Banala Nithyanandam's current company

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Stealth Startup
Stealth Startup
Founder
San Francisco, CA, US
AeroLeads page
17 roles

Revanth Banala Nithyanandam work experience

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

Ai Research Engineer

Current

Boston, Massachusetts, Us

Mar 2024 - Present

Founding Ai Engineer

Boston, Massachusetts, Us

AI Engineer on the Founding Team helping bring AI to the CX enterprise stack to boost CX and agent experience in contact centers.

Mar 2023 - Mar 2024

Software Engineer - Machine Learning

Menlo Park, Ca, Us

- Spearheaded the ideation and execution of a project to revamp a baseline research paper search engine, integrating it into a Slack-bot and utilizing SliceX AI models similar to GPT-3. Resulted in an improved search efficiency that enhanced productivity of academic research across 2.2 million records of papers that the model was trained on.- Deployed multiple NLP-based APIs for SliceX AI's public cloud platform, including a financial customer support ticket classifier. Contributed to the automation of customer support processes, enabling faster and more efficient ticket classification.- Represented the company at the Edge Computing World Conference 2022, liaising with clients to better understand their needs. Utilized the conference as a platform to introduce and gather feedback for SliceX AI's product offerings, leading to an increase in client satisfaction and better product-market fit.

Jun 2022 - Feb 2023

R&D Data Scientist

Cambridge, Massachusetts, Us

- Led a research and development project aimed at innovating new ML algorithms to detect states of the Autonomous Nervous System, as part of the R&D team, with a focus on providing real-time biofeedback to users using the Mindmics device with an ECG-like signal. Resulted in the development of cutting-edge technology that improves the understanding of physiological signals and enables real-time biofeedback to users.- Designed a proof-of-concept for a user-centered dashboard with a real-time visualization of the validated states of the Autonomous Nervous System, which was then integrated into the product by the UI team. Contributed to the development of a user-friendly and informative dashboard, enhancing the user experience.- Worked towards creating new metrics from the wearable sensor data, comparing it with benchmarked ECG signals, improving the accuracy of physiological data analysis. Contributed to the improvement of data analysis methods, resulting in more accurate and reliable physiological data analysis.- Designed and conducted in-house trials to explore and validate new metrics to understand physiological sigh and its effects on the ANS, leveraging both quantitative and qualitative data to inform further algorithm development. Resulted in the development of new metrics to understand physiological signals, improving the accuracy and effectiveness of the technology.

Sep 2021 - Jun 2022

Graduate Teaching Assistant

Pittsburgh, Pa, Us

Served as a TA for 18220 - Electronic Circuits and Devices during Fall 2019. As a TA, I helped peers in tutorials and get better grades in the courses. I assisted the Professors with assessment by evaluating quizzes and graded assignments, midterms and final exam. With other TAs, I assisted students in the Laboratory with circuit design experiments, clarifying concepts where essential.

Sep 2019 - Dec 2019

Summer Research Intern

Pittsburgh, Pennsylvania, Us

Project Supervisor: Dr. Priya Narasimhan- Led the Muscle Sensing team to work on the end-to-end EMG Data Analytics on the wearable to sense muscle activity and fatigue in Ice-Hockey Players and make recommendations that improve the posture, balance and prevent injury.- Created a real-time analytics system running on the cloud that could process the batches of streamed EMG data and display calculated parameters in real-time.- Optimized the data processing latency to less than 100ms to process the real-time stream of player data. - Made the code fault-tolerant by creating indexing and check-pointing which helps it get back to running in no time even after a crash.- Collaborated with the Hardware, System-Architecture and UI teams to work to integrate the data analytics and display the results on a Dashboard with incoming data streaming from the sensors worn by the players.- Hypothesized and validated muscle activation and muscle fatigue analysis to detect in real time player muscle effort and fatigue.Technical

May 2020 - Aug 2020

Part Time Research Assistant

Kowloon Tong, Kowloon, Hk

As a summer research assistant under Dr. Rosa Chan at the Laboratory for Computational Neuroscience, City University of Hong Kong, I am innovating and designing a non-invasive multiplexed sensory feedback system for prosthetic hands that could restore 60% of tactile and thermal sensations in amputees and sensory-deficit diabetic patients. On doing some literature review, I formulated the problem- "The need for sensory embodiment" in amputees and diabetic patients. With the help of a PhD student, we designed a feedback mechanism to restore the senses of touch (pressure, temperature) and proprioception through the upper limb prosthetics in amputees using electro-vibrotactile feedback.Technical

Nov 2018 - Mar 2019

Student Intern

Hong Kong, Hk

During the internship, I had led a team of 4 interns to optimize operational and warehouse management processes of the company under the supervision of Logistics Team and the Engineering Team.As a team, we optimized warehouse management operational process 40% by revamping the existing stock issue out function while ensuring compliance with existing company policies. We created a novel and smart mobile application system with a functional Barcode scanner to automate the issue out process of stock from the warehouse, hence cutting down the manual update and retrieval processes. We also designed a warehouse automation bot to augment the efficiency of manual stock update by 30%. The robot was a line following robot which moved around the warehouse, procuring information about the stock available using RFID sensors and automatically updating the database with the quantity of the stock available in the warehouse. Technical

Feb 2018 - Aug 2018

Electronic Design Intern

Hong Kong, Hk

As a design intern in Air Button, I designed and developed a novel dual-input USB/wireless charger with an efficiency of 70% to charge 2A batteries, with the help of another intern.The project mainly focused on designing a wireless receiver based on the Qi Standard in order to charge 2A batteries that are be used in cameras. The dual input feature demanded for power management between the two modes of operation, which was solved by using a suitable chip configuration of the IC used for the wireless receiver. We successfully prototyped and tested the dual input charger which could be used to charge a AA rechargeable battery with an efficiency of 70%.Technical

Jan 2018 - May 2018

Writer

Kowloon Tong, Kowloon, Hk

- Wrote newsletters and articles published on the Reslink site of the Student Residence of CityU.

Oct 2014 - Nov 2016

Overseas Summer Research Intern

Castelldefels, Barcelona, Es

I had interned as a research assistant in CTTC, working on "Futuristic 5G" technology. I successfully ported an existing software from C in DSP to C++ using GNU Radio modules. I had accomplished source code review and created new modules for a software transmitter in C++, working in a Linux Environment, MATLAB and Python. Later I developed and tested modules to implement a software transmitter that could be used for research in novel 5G applications cutting down hardware complexity for testing by 50%. Though I faced some challenges as the existing modules and code were outdated and I had to grasp new concepts in two weeks, I quickly learnt the concepts, drew draft code models and went through intense debugging sessions to get my code to work. Despite the fact that the first module took weeks to complete, I got the hang of the technique the implemented the remaining modules earlier than intended.On completion, I was awarded a merit certificate for outstanding work carried out during the internship period.Technical

Jun 2017 - Aug 2017

Software Development Intern

Office Of The Cio, City University Of Hong Kong

During this internship which started as a summer internship at the CityU IT Team, I had collaborated with a team of 6 interns from computing, marketing and creative media backgrounds. As I was getting to know the new software, I completed the compatibility testing of the new platform Fuse for hybrid mobile applications. Once positive results were obtained on the compatibility testing, we moved on to revamp an existing version of the mobile application 'CityU Minerals' on Fuse for use of the staff from the Materials Science department. Then, we deployed a new version of 'CityU Mobile' using Fuse from scratch, for the use of 70% of freshmen students at City University of Hong Kong to access features like weekly schedule, library, food options around campus, campus virtual map, and others. I had faced challenges initially getting used to the new platform, but quickly overcame them by deploying small scale applications which also served the purpose of compatibility testing. Technical

Jun 2016 - Jul 2017
5 education records

Revanth Banala Nithyanandam education

Master Of Science - Ms, Electrical And Computer Engineering

Carnegie Mellon University

Bachelor Of Honors In Engineering (Be) With First Class Honors, Electronics And Communications Engineering

City University Of Hong Kong

Bachelor Of Engineering (Beng), Electronics And Communications Engineering, Computer Science

The University Of British Columbia

Indian School Certificate Exam (Isc), Mathematics, Physics, Chemistry And Biology

St. Joseph'S Boys' High School

Indian Certificate Of Secondary Education (Icse), Computer Science, Physics, Biology, Chemistry, Mathematics, Eco-Studies, Geography, History & Civics

St. Thomas Public School
FAQ

Frequently asked questions about Revanth Banala Nithyanandam

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

What company does Revanth Banala Nithyanandam work for?

Revanth Banala Nithyanandam works for Stealth Startup.

What is Revanth Banala Nithyanandam's role at Stealth Startup?

Revanth Banala Nithyanandam is listed as Founder at Stealth Startup.

Where is Revanth Banala Nithyanandam based?

Revanth Banala Nithyanandam is based in Santo Domingo, Dominican Republic while working with Stealth Startup.

What companies has Revanth Banala Nithyanandam worked for?

Revanth Banala Nithyanandam has worked for Stealth Startup, Unifycx, Slicex Ai, Mindmics, and Carnegie Mellon University'S College Of Engineering.

How can I contact Revanth Banala Nithyanandam?

You can use AeroLeads to view verified contact signals for Revanth Banala Nithyanandam at Stealth Startup, including work email, phone, and LinkedIn data when available.

What schools did Revanth Banala Nithyanandam attend?

Revanth Banala Nithyanandam holds Master Of Science - Ms, Electrical And Computer Engineering from Carnegie Mellon University.

What skills is Revanth Banala Nithyanandam known for?

Revanth Banala Nithyanandam is listed with skills including Leadership, Speech Recognition, Public Speaking, Linux, C, Neuroscience, Matlab, and Tensorflow.

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