Rahul Lokesh

AI Researcher

Mountain View, California, United States7 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Large Language Models and Conversational AI.
Significant contributions to AI with multiple patents filed.
Strong academic background with publications in top-tier conferences.

Stackforce AI infers this person is a Machine Learning and AI specialist with a focus on generative technologies.

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Skills

Core Skills

Machine LearningDeep Learning

Other Skills

PyTorchConversational AIGenerative AILarge Language Models (LLM)C++Data StructuresImage ProcessingSignal ProcessingArtificial Intelligence (AI)Data SciencePython (Programming Language)TensorFlowMATLABEmbedded LinuxEmbedded Software

About

Machine Learning Research Engineer with extensive experience in designing and developing cutting-edge solutions involving Large Language Models (LLMs), Conversational AI, Computer Vision and Deep Learning. Worked on crafting conversational AI engines that transform interactions with digital humans, making them not just friendlier, but intuitive through natural language understanding. Assisted in building cutting-edge deep learning rendering pipeline, pushing the boundaries of how digital human avatars are brought to life. Led the on-device development efforts for generating photorealistic video avatars animated through speech and vision data on mobile phones and browsers. In the realm of innovation, I've filed for several patents that stand as testaments to my contributions to the field of AI and digital human technology. My scholarly tenure at Columbia University was marked by significant publications in top-tier conferences such as AAAI and ACL. Earlier in my career, as a Senior Software Engineer at Sling Media, I played a pivotal role in the development of video streaming technologies, IoT solutions, and secured patents in the realm of image processing. Driven by a zeal to explore new frontiers in AI, I am committed to innovative research and development, particularly in generative AI and large language models space.

Experience

7 yrs

Total Experience

2 yrs 5 mos

Average Tenure

3 yrs 6 mos

Current Experience

Samsung research america (sra)

3 roles

Senior Research Engineer

Jan 2023 – Present · 3 yrs 3 mos

Machine LearningPyTorchDeep Learning

Intern, Machine Learning

Sep 2022 – Dec 2022 · 3 mos

Machine LearningPyTorch

Intern, Machine Learning

May 2022 – Aug 2022 · 3 mos

Machine LearningPyTorch

Columbia university in the city of new york

3 roles

Graduate Teaching Assistant

Sep 2022 – Dec 2022 · 3 mos · New York City Metropolitan Area

COMS4995 - Neural Networks and Deep Learning by Prof. Richard Zemel

Machine LearningPyTorch

Graduate Research Assistant

Promoted

Jan 2022 – Dec 2022 · 11 mos · New York City Metropolitan Area

Digital Video and Multimedia (DVMM) Lab
Worked on Multimodal Event-Event Relation Detection at Digital Video and Multimedia (DVMM) Lab.
Supervisor: Prof. Shih-Fu Chang

Machine LearningPyTorch

Student Athlete Tutor

Jan 2022 – May 2022 · 4 mos · New York City Metropolitan Area

Tutoring undergraduate student athletes
Introduction to Computing for Engineers and Applied Scientists (ENGIE1006 - Python)
Fundamentals of Computer Systems (CSEEW3827)

Sling media

3 roles

Senior Software Engineer

May 2021 – Jul 2021 · 2 mos

Identified and improved various customer-facing issues related to HLS and Dash streaming based video playback in the Dish-Anywhere application for iOS, Android and Web browsers using C++/C, JavaScript and HTML/CSS.

Software Engineer

Jul 2018 – May 2021 · 2 yrs 10 mos

Added features for SlingStudio and CameraLink through Embedded C++11/C development and gained exposure to media pipeline, Wi-Fi, battery and analytics modules.
Developed Dish Communities application for Hopper Set-Up Box (STB) involving core C++ logic and Qt QML UI.
Built an IoT based solution integrating Google Nest device streaming and controls on Hopper STB by supporting RTSPS streaming and creating a Qt-based application on Hopper STB.
Conceived, created and deployed an analytics dashboard leveraging Google's Big Query and Data Studio tools for the Google Nest on Dish Hopper project for deriving analytical insights.

Intern

Jan 2018 – Jun 2018 · 5 mos

Worked with a team of 3 in implementing Telestration feature for SlingStudio and published a patent with US Patent and Trademark Office. Employed novel techniques to improve frame rate by more than 4 times and acquired knowledge about image and video processing techniques - decoding, blending, compositing, transcoding and muxing.

Technosphere labs

Intern

Jun 2017 – Jul 2017 · 1 mo · Bengaluru, Karnataka, India

As an Intern, I worked on hardware acceleration of Sobel and Canny edge detection algorithms invoking HW OpenCV functions and achieved 3 times better performance with HW-SW co-design over pure software approach.