Nishanth Kumar

AI Researcher

Cambridge, Massachusetts, United States4 yrs 8 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in AI, ML, and Robotics research.
Strong academic background with a PhD in AI/ML/Robotics.
Proven track record in autonomous systems and machine learning.

Stackforce AI infers this person is a Robotics and AI Research Specialist with a focus on advanced machine learning applications.

Contact

njk.csail@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningRobotics

Other Skills

Python (Programming Language)VLM planningreasoningautonomous self-improvementVLMsplanning algorithmsrobotic manipulationPlanningFactor GraphsinferenceActive Learningneural network modelPyTorchResearchLeadership

About

For more info about my research and work, check out my personal website: https://nishanthjkumar.com/. You can also find my up-to-date resume here: https://nishanthjkumar.com/assets/pdf/Nishanth_Resume.pdf.

Experience

4 yrs 8 mos

Total Experience

4 yrs 8 mos

Average Tenure

0 mo

Current Experience

Nvidia

Research Intern

Jun 2024 – Jan 2025 · 7 mos · Seattle, WA

Worked on research combining VLMs with planning algorithms to enable test time search and scaling for robotic manipulation problems: https://research.nvidia.com/labs/srl/publication/

VLMsplanning algorithmsrobotic manipulationRoboticsMachine Learning

The ai institute

Research Intern

Nov 2022 – May 2024 · 1 yr 6 mos · Cambridge, MA

Worked on research and engineering at the intersection of ML and Planning to enable autonomous self-improvement for robots at household tasks. Work resulted in publication which can be viewed here: http://ees.csail.mit.edu/

Machine LearningPlanningautonomous self-improvementRobotics

Mit computer science and artificial intelligence laboratory (csail)

PhD Student + Researcher

Sep 2021 – May 2026 · 4 yrs 8 mos · Cambridge, MA

Ph.D. Student Researcher working on AI and ML for robotics within the MIT Embodied Intelligence Initiative.

Artificial Intelligence (AI)Machine LearningRobotics

Vicarious

Research Intern

May 2021 – Aug 2021 · 3 mos · United States

Worked on developing PGMax - a novel framework for specifying and performing inference on Factor Graphs - for the LTR (Long-Term Research) Team. For more details, see: https://arxiv.org/abs/2202.04110

Factor GraphsinferenceArtificial Intelligence (AI)

Uber

Research Intern

May 2020 – Aug 2020 · 3 mos · Toronto, ON

Explored the use of Active Learning methods to simultaneously improve sample-efficiency and reduce data labelling costs for a neural network model at Uber ATG
Implemented and tested recently-published Active Learning techniques in PyTorch
Conference publication accepted at CoRL 2021

Active Learningneural network modelPyTorchMachine Learning

Forge innovation accelerator

Intern

May 2017 – Jul 2017 · 2 mos · Coimbatore, Tamil Nadu, India

Worked on the Sandbox at FORGE initiative to produce and compile Problem Briefs and Prototype Specs to enable the next big businesses. Also designed and helped implement a draft of the Sandbox @ Forge webpage. Participated in two ThinkTanks with Agriculture experts to improve problem briefs. Finally, worked on Content Creation and discussed Digital Marketing for the FORGE.Future internship program.

The indian public school

Student Teacher

Jan 2017 – Mar 2017 · 2 mos · Coimbatore, Tamil Nadu, India

I teach Mathematics HL, Physics HL, Chemistry HL and Economics SL classes.
I lecture IB students about English A Language and Literature and French ab initio
I also advise on TOK, Science extended essays and Internal Assessments for all subjects.
Furthermore, I interact with and lecture 9th and 10th graders about college planning, the IB Diploma Programme and extra-curriculars.