Anuj Kumar
Data ScientistGurgaon, Haryana, IndiaMember since June 16, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
hyper-llm-inference-PROTOTYPE-
December 1, 2025 – December 1, 2025
hyper-llm-inference-PROTOTYPE- — GitHub repository
View ProjectlongQlora-in-rust
December 1, 2025 – December 1, 2025
longQlora-in-rust — GitHub repository
View Projectprefix-tuning-in-julia
December 1, 2025 – December 1, 2025
prefix-tuning-in-julia — GitHub repository
View Projectvisual-physical-engine
November 28, 2025 – November 28, 2025
A high-performance, modern C++20 physics simulation library designed for game development, robotics, and computer graphics applications. Features advanced rigid body dynamics, constraint systems, and soft body simulation with a focus on numerical stability and performance.
View ProjectGPU-Performance-Optimizer
November 27, 2025 – November 27, 2025
A cutting-edge, AI-enhanced performance optimization framework for NVIDIA GPUs that leverages machine learning techniques to analyze CUDA kernels and provide intelligent optimization recommendations. Built with modern Python architecture for cross-platform deployment and comprehensive GPU performance analysis.
View ProjectPointStream-AI
November 27, 2025 – November 27, 2025
A high-performance, async-first framework for real-time multimodal sensor data processing, combining LiDAR point clouds and camera imagery with advanced visualization and algorithmic processing capabilities.
View ProjectFinetuning-LLM-for-context-aware-geo-spatial-query
July 24, 2024 – July 24, 2024
Fine-tuned the capabilities of OpenAI’s GPT-4 language model, by training it with additional geospatial vocabulary and knowledge. This training ensures that our GeoLLM can accurately interpret and respond to spatial queries while minimizing the inaccuracies often seen in standard language models.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, demonstrating a strong drive for independent exploration and technical depth. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The project diversity is good, but the alignment with a typical 'Data Scientist' role, which often involves more business context and deployment, is not explicitly shown. The focus is heavily on core AI/ML research and low-level optimization.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate profile lacks information on work experience, team collaboration, or communication styles. Psychometric test scores are 0, providing no insight.