Karthik Sunkishala

Data Scientist

https://talent.gravityer.com/karthik-sunkishala

Software Engineer || building & improving scalable systems for AI/ML

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (deepseek-r1-distill-qwen-32b, ai-templates, ai-hack-25, ai-assist, model-serve, BTP).
Experience with Python, a core language for Data Science.
Exposure to MLOps concepts with Dockerfile and Makefile in projects like 'ai-hack-25' and 'model-serve'.
Familiarity with large language models (LLMs) and distillation techniques (deepseek-r1-distill-qwen-32b).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects indicate a strong self-starter mentality and a passion for exploring new technologies, particularly in the AI domain. The diversity of projects, from LLM distillation to general AI templates and a personal website, suggests a broad interest and willingness to learn. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

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

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Projects

ai-templates

March 12, 2026 – Present

ai-templates — GitHub repository

View Project

ai-hack-25

February 22, 2025 – May 5, 2025

ai-hack-25 — GitHub repository

View Project

deepseek-r1-distill-qwen-32b

January 27, 2025 – March 11, 2025

A distilled DeepSeek-R1 variant built on Qwen2.5-32B, fine-tuned with curated data for enhanced performance and efficiency. <metadata> gpu: A100 | collections: ["vLLM"] </metadata>

View Project

ai-assist

August 3, 2024 – November 30, 2024

ai-assist — GitHub repository

View Project

karthik1900.github.io

March 26, 2023 – March 26, 2023

personal website

View Project

model-serve

January 13, 2023 – January 13, 2023

model-serve — GitHub repository

View Project

BTP

December 4, 2021 – December 4, 2021

BTP — GitHub repository

View Project

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (deepseek-r1-distill-qwen-32b, ai-templates, ai-hack-25, ai-assist, model-serve, BTP).
Experience with Python, a core language for Data Science.
Exposure to MLOps concepts with Dockerfile and Makefile in projects like 'ai-hack-25' and 'model-serve'.
Familiarity with large language models (LLMs) and distillation techniques (deepseek-r1-distill-qwen-32b).

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 provided.

Karthik Sunkishala

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit