Srihari

Data Scientist

https://www.opentalent.in/srihari-1

cool stuff doer

IndiaMember since June 16, 2026

Key Strengths

Strong interest and practical experience in Large Language Models (LLMs) demonstrated through projects like KVBoost, TokenBurn, and GPT-From-Scratch.
Proficiency in Python, a core language for Data Science and Machine Learning.
Experience with GPU performance optimization and CUDA, as seen in CUDA-From-Scratch and AutoKernel, which is valuable for deep learning.
Demonstrated ability to learn and apply complex concepts from first principles (e.g., GPT-From-Scratch, CUDA-From-Scratch).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and highly focused on cutting-edge AI/ML research and development, particularly LLMs. This indicates a strong drive for innovation and self-directed learning. However, the lack of team projects or professional experience makes it difficult to assess collaboration and broader cultural fit within a structured team environment. The project diversity is high within the AI/ML domain, but lacks breadth in other typical data science applications (e.g., traditional statistical modeling, A/B testing, business intelligence).

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

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

KVBoost

March 30, 2026 – Present

Make local LLM inference faster with chunk-level KV cache reuse

View Project

Manimbot

March 23, 2026 – Present

Generate beautiful Manim animations using AI. Describe what you want to animate, and the system generates the code and renders it.

View Project

AutoKernel

January 22, 2026 – Present

A production-quality terminal-based profiling tool that diagnoses GPU performance bottlenecks in PyTorch models.

View Project

CUDA-From-Scratch

January 21, 2026 – Present

A self-study for CUDA principles from 0 to 1

View Project

GPT-From-Scratch

January 12, 2026 – Present

Transformer Architecture from first principles

View Project

TokenBurn

August 16, 2025 – August 18, 2025

TokenBurn: Information-theoretic metrics for measuring LLM confidence, hallucination risk, and optimal reasoning length.

View Project

team_38

February 7, 2025 – February 24, 2025

team_38 — GitHub repository

View Project

Birdman

June 1, 2019 – June 22, 2019

'Birdman NotASPAMbox' is an automated mail and social media publishing command line interface.

View Project

Musick

March 18, 2019 – April 21, 2019

A beautiful music player made in vuejs

View Project

Octolang

February 23, 2019 – April 7, 2019

The Coolest Programming Language In Our Land

View Project

Key Strengths

Strong interest and practical experience in Large Language Models (LLMs) demonstrated through projects like KVBoost, TokenBurn, and GPT-From-Scratch.
Proficiency in Python, a core language for Data Science and Machine Learning.
Experience with GPU performance optimization and CUDA, as seen in CUDA-From-Scratch and AutoKernel, which is valuable for deep learning.
Demonstrated ability to learn and apply complex concepts from first principles (e.g., GPT-From-Scratch, CUDA-From-Scratch).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

Srihari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit