Yalala Mohit
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Yalala Mohit Email & Phone Number

AI Mafia at Coding Club
Location: Greater Visakhapatnam Area, India 9 work roles 5 schools
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✓ Verified August 2026 3 data sources Profile completeness 100%

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Current company
Role
AI Mafia
Location
Greater Visakhapatnam Area, India
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Who is Yalala Mohit? Overview

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Quick answer

Yalala Mohit is listed as AI Mafia at Coding Club, a with 1032 employees, based in Greater Visakhapatnam Area, India. AeroLeads shows a matched LinkedIn profile for Yalala Mohit.

Yalala Mohit previously worked as Machine Learning Engineer Co-Op at Motorola Solutions and Graduate Research Assistant at Nulab-Northeastern University. Yalala Mohit holds Master'S In Artificial Intelligence - Khoury College Of Computer Sciences, Computer Science, 4/4 from Northeastern University.

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Coding Club

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Profile bio

About Yalala Mohit

*I convey the untold stories, which data depicts*A highly passionate and motivated individual specializing in Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Generative AI, LLMs and SLMs, RAG systems, and vector databases. I am equipped with a diverse and robust skill set and leverage these them to create innovative solutions. I am a quick learner who believes in the power of continuous learning. My transition from mechatronics engineering to data science and machine learning has been driven by self-motivation and perseverance. My curiosity has led me to explore various emerging technologies like 3D printing, robotics, VR/AR, and IoT, enabling me to apply machine learning & AI in these areas and achieve remarkable cross-technology outcomes. I am committed to making a positive impact in these fields and am open to opportunities that allow me to do so.

Listed skills include Leadership, Deep Reinforcement Learning, Neural Networks, Pandas, and 41 others.

Current workplace

Yalala Mohit's current company

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Coding Club
Coding Club
AI Mafia
delhi, delhi, india
Website
Employees
1032
AeroLeads page
9 roles

Yalala Mohit work experience

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

Ai Mafia

Current

India

A part of the AI community comprising of the best coders.- Actively participate in forums and discussions, share insights, and contribute to collective knowledge.- Guide and support new members in their learning and professional AI development journey.- Promote ethical AI practices and advocate for responsible AI development and deployment.- Provide constructive feedback on community initiatives and contribute ideas for continuous improvement.

Jul 2019 - Present

Machine Learning Engineer Co-Op

Somerville, Massachusetts, United States

- Abandoned/Removed Object Detection Project: Spearheaded the development of advanced scene change analysis model, and its integration into an existing edge-based computer vision software stack with a 0.1% FP rate.- License Plate Recognition Project: Collaborated with a team of 3 to integrate a best License Plate selection scheme and deploy a License Plate recognition model into the camera system, achieving a consistent 94% mAP.- Real-time Cross Camera Tracking PoC: Orchestrated with a team of 5 to achieve a remarkable 90% re-identification rate for suspects across multiple cameras, evaluated in a 6 camera setup, through proprietary datasets collected.

Jul 2023 - Jan 2024

Graduate Research Assistant

Nulab-Northeastern University

Boston, Massachusetts, United States

- Researched under Dr. Silvio Amir to develop a scalable multimodal encoder for mental health disorder detection, trained on proprietary social media data with ~2 million data points.- Employed pre-training strategies (DINO, MLM, etc) achieving an impressive attention localization score of 87.6%.

Jan 2023 - Jul 2023

Edge-Ai R&D Systems Engineer

Hyderabad, Telangana, India

- Published 4 Deep Learning based internal white papers (to be published in Springer).  CT Image Segmentation and 3D Reconstruction of COVID-19 Lung Images using U-Net.  Efficient Model Compression with Iterative Quantization aware Knowledge Distillation.  Person Tracking and Occlusion Handling.  A Comprehensive Workflow for Edge Intelligent Solutions using ONNX and ONNX Runtime.- Developed source code for 6 open-source contributions & several proof of concepts.- Performed competitive benchmarking of novel DL models leveraging DL compilers, frameworks and runtime engines.- Delivered technical presentations, acquired client projects & increased unit revenue by 10%.- Mentored interns and fresh hires & conducted technical interviews increasing team size from 4 to 18.

Aug 2020 - Aug 2022

Engineer Intern

Hyderabad, Telangana

- Researched & Designed a cross-platform immersive android application for Extended Reality (XR) to perform hand gesture recognition and virtual object manipulation, inferencing at 55 FPS on a Snapdragon 845 processor.

Feb 2020 - Apr 2020

Undergraduate Research Assistant

Robotics Lab Sastra

Thanjavur, Tamil Nadu, India

- Designed a custom neural network for the gesture mapping of muscular movements with 95% accuracy.- Prototyped a 35% cost efficient 3D Bionic Arm with OYMotion EMG sensor and Dynamixel 18A actuation.

Jul 2019 - Nov 2019

Engineer Intern

First Tbi

Thanjavur, Tamil Nadu

- Led a team of 3 to deploy a VR Heritage Tourism application on Oculus Go & Rift, featuring an AI virtual tour guide.- Reconstructed immersive 3D representations of 2 Heritage sites in India (Taj Mahal and Thanjavur Big Temple).

Dec 2018 - May 2019

Intern

Hyderabad, Telangana

- Devised a UI based home-automation prototype using Raspberry-pi3 and relay switches.- Implemented ML based automated power consumption strategies, to improve operational efficiency by 20%.

Nov 2018 - Dec 2018

Hr Intern

- Responsible for conducting a telephonic interview to the candidates who have applied for the various available internships at Awign.This role boosted my soft skills and gave me an overview of the criteria, which is expected to be possessed by the applicant. With this knowledge right in my first year of graduation, I was able to inculcate the necessary skills that could help me reach my objectives.

Dec 2017 - Mar 2018
Team & coworkers

Colleagues at Coding Club

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5 education records

Yalala Mohit education

Master'S In Artificial Intelligence - Khoury College Of Computer Sciences, Computer Science, 4/4

- Graduate Research Assistant under Dr. Silvio Amir, working on a scalable Multimodal Encoder on Twitter data. - Won 2nd prize at MIT.

Long Term

I wanted to get into India's most reputed universities - the IIT's , NIT's and deemed universities , for my graduation. Hence, I gave.

89.4%

St.Ann'S English Medium High School, Vizag

Activities and Societies: I was the School Pupil Leader and was responsible for the entire student community ,and organizing fests,sports.

FAQ

Frequently asked questions about Yalala Mohit

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

What company does Yalala Mohit work for?

Yalala Mohit works for Coding Club.

What is Yalala Mohit's role at Coding Club?

Yalala Mohit is listed as AI Mafia at Coding Club.

Where is Yalala Mohit based?

Yalala Mohit is based in Greater Visakhapatnam Area, India while working with Coding Club.

What companies has Yalala Mohit worked for?

Yalala Mohit has worked for Coding Club, Motorola Solutions, Nulab-Northeastern University, Tata Consultancy Services, and Robotics Lab Sastra.

Who are Yalala Mohit's colleagues at Coding Club?

Yalala Mohit's colleagues at Coding Club include Dudekula Reshma Banu, Abhishek Kumar Raghuvanshi, Sarthak Jain, Rajat Arora, and Mekonnin Makulo.

How can I contact Yalala Mohit?

You can use AeroLeads to view verified contact signals for Yalala Mohit at Coding Club, including work email, phone, and LinkedIn data when available.

What schools did Yalala Mohit attend?

Yalala Mohit holds Master'S In Artificial Intelligence - Khoury College Of Computer Sciences, Computer Science, 4/4 from Northeastern University.

What skills is Yalala Mohit known for?

Yalala Mohit is listed with skills including Leadership, Deep Reinforcement Learning, Neural Networks, Pandas, Social Media, 3D Computer Aided Design, Public Speaking, and Human Resources.

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