Kartheek Akella

Data Scientist

https://talent.gravityer.com/kartheek-akella

Researcher exploring neuroevolutionary algorithms for reward models

Hyderābād, Telangana, India

Key Strengths

Demonstrated interest in Deep Learning and Machine Learning through projects like 'smol' (Deep Learning Library) and 'thorough_learning' (LM research).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to C++ for performance-critical applications ('1bit-camera', 'Cache-Optimizer', 'learned-indexes') indicates a foundational understanding of low-level optimization, which can be beneficial in data science for custom algorithm implementation or performance tuning.
Projects like 'used_cars_regression' and 'openai_api_anomaly_detection' show practical application of data science techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is diverse, covering areas from deep learning libraries to web extensions and mobile apps. This indicates a broad interest in technology. However, the majority of projects are personal and lack team collaboration context. While there's a clear alignment with the 'Data Scientist' target role through several ML/DL projects, the overall breadth of projects (e.g., Chrome extension, Android app) suggests a generalist inclination rather than a focused deep dive into data science specific challenges. The absence of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

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

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Projects

1bit-camera

June 1, 2026 – Present

1bit-camera — GitHub repository

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thorough_learning

February 28, 2025 – March 2, 2025

Open Research on two-phase post-training process combining autoregressive learning and RL for enhanced LM capabilities in both memorization and problem-solving tasks.

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used_cars_regression

September 16, 2024 – October 14, 2024

used_cars_regression — GitHub repository

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puddl-xtension

May 14, 2023 – May 14, 2023

Chrome extension for unleashing the maximum potential of ChatGPT

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openai_api_anomaly_detection

May 3, 2023 – May 3, 2023

openai_api_anomaly_detection — GitHub repository

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smol

May 1, 2020 – May 4, 2020

Smol - A Deep Learning Library

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learned-indexes

April 11, 2020 – April 11, 2020

An attempt to implement learned indices paper by Tim Kraska et. al

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Text-Retrieval

January 20, 2020 – January 20, 2020

Text-Retrieval — GitHub repository

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Cache-Optimizer

November 19, 2019 – May 13, 2020

Research repository on improving cache usage

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Fest-Manager-App

August 20, 2018 – August 21, 2019

The Android app for all the 3 fests of Bits Pilani Hyderabad.

View Project

Key Strengths

Demonstrated interest in Deep Learning and Machine Learning through projects like 'smol' (Deep Learning Library) and 'thorough_learning' (LM research).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to C++ for performance-critical applications ('1bit-camera', 'Cache-Optimizer', 'learned-indexes') indicates a foundational understanding of low-level optimization, which can be beneficial in data science for custom algorithm implementation or performance tuning.
Projects like 'used_cars_regression' and 'openai_api_anomaly_detection' show practical application of data science techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Kartheek Akella

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit