Lakshay Kumar

Software Engineer

Delhi, India4 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in LLVM compiler technology and benchmarking.
Developed AI models for traffic accident detection.
Led frontend development for impactful mobile applications.

Stackforce AI infers this person is a Software Engineer specializing in AI and Mobile Application Development.

Contact

Skills

Core Skills

CompilersMachine LearningDeep LearningDiscussion FacilitationCommunicationArtificial Intelligence (ai)Front-end Development

Other Skills

LLVMllvm-exegesisLarge Language Models (LLM)Computer VisionRetrieval-Augmented Generation (RAG)Version ControlAI SafetyOrganization SkillsTeamworkPhilosophyKerasFederated learningSeabornPython (Programming Language)Figma (Software)

Experience

4 yrs 1 mo

Total Experience

1 yr 6 mos

Average Tenure

9 mos

Current Experience

Nvidia

2 roles

Software Development Engineer 1

Aug 2025 – Present · 9 mos · Pune · On-site

Software Development Intern

Jan 2025 – Jul 2025 · 6 mos · Pune · On-site

Intern to research and extend the LLVM compiler benchmarking using `llvm-exegesis` for ARM Neoverse V2 which implements the ARMv9.0-A instruction set for NVIDIA Grace CPU, developed for high performance computing. Internship in Grace (CPU) Compiler Verification Team.

CompilersLLVMllvm-exegesis

Ihub anubhuti-iiitd foundation

Research Fellow

Aug 2024 – Jun 2025 · 10 mos · Delhi, India · On-site

Project of Large Multi-Modal Foundation Model for Traffic Accident Analysis / Detection in mentorship of Dr. Rajiv Ratn Shah.
CHANAKYA UG Fellow to carry out research work entitled 'Large Multi-Modal Foundation Model for Traffic Accident Analysis / Detection' sponsored by the itHub Anubhuti-IITD Foundation (iHub Anubhut).

Large Language Models (LLM)Machine LearningDeep LearningComputer VisionRetrieval-Augmented Generation (RAG)Version Control

Indraprastha institute of information technology, delhi

Research Intern

May 2024 – Jul 2024 · 2 mos · Delhi, India · On-site

Project for deploying WiFi Geolocation Sensing using Federated Machine Learning for Edge Devices. At i-CPS Lab under Dr. Shamik Sarkar

Artificial Intelligence (AI)KerasFederated learningMachine LearningSeabornVersion Control

Effective altrusim iiitd

Facilitator

Jan 2024 – Jun 2025 · 1 yr 5 mos · Delhi, India · On-site

Facilitator for the Effective Altruism @ IIITD. Leading the conversation and impact creation. Managing Intro Program to EA named "How to do good better" as credited course for the cohort.

Discussion FacilitationAI SafetyOrganization SkillsTeamwork

Complex systems laboratory

Undergraduate Researcher

Jan 2024 – May 2024 · 4 mos · Delhi, India · On-site

Worked as an Undergraduate Researcher on Food and Nutrient Database for Dietary Studies (FNDDS), focusing on building Robust Models which predicts and characterize the degree of food processing based on Nutrients and Ingredient Features, This incorporates Data Analysis, Model optimization and usage of various machine learning algorithms such as Random Forest, Xgboost, and Adabaoost.

Machine LearningPython (Programming Language)Seaborn

Ministry of social justice & empowerment, goi

Software Developer

May 2023 – Sep 2023 · 4 mos · SPYM, Vasant Kunj, Delhi, India · On-site

Frontend Developer — Navchetna
Led Android frontend development using Kotlin, delivering a performant and responsive application.
Designed and prototyped UI/UX in Figma, translating mockups into production-ready code.
Coordinated across backend, design, and product teams to drive project execution.
Mentored junior developers and maintained technical documentation for the codebase.

Figma (Software)CommunicationFront-End DevelopmentKotlinAndroid

Philosophy society of iiitd

President

Feb 2022 – Jan 2025 · 2 yrs 11 mos · Delhi, India · On-site

I spearheaded the club, managed event planning, led the team in various activities, and fostered a growing community of intellectuals. Explored the human condition.

CommunicationPhilosophyOrganization SkillsTeamwork