Anushk Kumar

Data Scientist

https://talent.gravityer.com/anushk-kumar

I am an undergraduate student pursuing BTech in computer science and engineering degree at IIIT Delhi.

New Delhi, Delhi, India

Key Strengths

Demonstrated experience with GPU programming (CUDA, C++) for real-time video processing and image processing, highly relevant for performance-critical data science applications.
Proficiency in Python and Jupyter Notebook for machine learning tasks, indicating foundational data science skills.
Experience with NLP and Vision-based tools (TrueSight project) showcases practical application of AI/ML.
Exposure to LLMs and AI-powered platforms (gdg-hackathon, Amber) aligns with modern data science trends.
Familiarity with Rust for performance-critical applications (Assembly-RISCV-CO2024) suggests an interest in optimized solutions.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong inclination towards personal and hackathon projects, indicating self-motivation and a passion for technology. The diversity of projects, from GPU programming to AI/ML and mobile applications, suggests adaptability and a broad interest in technical challenges. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying diverse technologies.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Amber

May 7, 2026 – Present

Amber is an offline-first Gemma 4-powered Android live companion that Help people with dementia overcome inability to recognize familiar faces, medication confusion, home disorientation, and acute distress through always-listening, private, real-time multimodal support

View Project

ML-Assignments

May 2, 2026 – Present

Course Assignments of Machine Learning Winter 2026 (CSE 343)

View Project

berserk-23115.github.io

April 23, 2026 – Present

berserk-23115.github.io — GitHub repository

View Project

ai-for-bharat

February 2, 2026 – Present

ai-for-bharat — GitHub repository

View Project

GPU-Specialisation-Capstone

July 1, 2025 – July 2, 2025

GPU Programming Specialisation Capstone Project submission : A custom CUDA based real time video processor with varied filters to generate new and updated videos in minimal time. Used CUDA architecture to harness the power of Nvidia developed GPUs, and Kernels

View Project

GPU-Specialisation-IP

July 1, 2025 – July 2, 2025

Independent Project Submission for GPU programming specialisation : CUDA enable simple Image Processor CLI tool. Standard Filters included

View Project

gdg-hackathon

March 23, 2025 – May 17, 2025

AI-powered platform transforming YouTube playlists into interactive courses, automating educational content generation using LLMs.

View Project

TrueSight

September 29, 2024 – January 15, 2025

TrueSight is an innovative NLP and Vision-based redaction tool that allows user-defined gradational redaction, masking, and anonymization across multiple input formats, including text, images, PDFs, and videos. TrueSight is designed for high security, ensuring that no input data is stored or retrievable, making it an ideal solution for sensitive da

View Project

FocusFlow

August 24, 2024 – August 25, 2024

Personalized Education for Neurodiverse Students

View Project

Assembly-RISCV-CO2024

February 16, 2024 – April 18, 2024

RISCV 32 bit based instruction assembler and simulator for evaluation of various programs in assembly. Highly Efficient Assembler and Instruction parser built on RUST to ensure memory safety and better performance. Python based simulator to simulate tasks in memory frames and stack frames

View Project

Key Strengths

Demonstrated experience with GPU programming (CUDA, C++) for real-time video processing and image processing, highly relevant for performance-critical data science applications.
Proficiency in Python and Jupyter Notebook for machine learning tasks, indicating foundational data science skills.
Experience with NLP and Vision-based tools (TrueSight project) showcases practical application of AI/ML.
Exposure to LLMs and AI-powered platforms (gdg-hackathon, Amber) aligns with modern data science trends.
Familiarity with Rust for performance-critical applications (Assembly-RISCV-CO2024) suggests an interest in optimized solutions.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying diverse technologies.

Anushk Kumar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit