Sandesh Katakam

Machine Learning Systems Engineer

https://www.opentalent.in/sandesh-katakam-1

Deep Learning, Reinforcement Learning, Generative Models, Machine Learning Systems (MLSys)

Hyderabad, INDIA

Key Strengths

Extensive personal project experience in Machine Learning, particularly in Reinforcement Learning (RL), Variational Autoencoders (VAEs), and RAG systems.
Demonstrated proficiency in Python and related ML frameworks (PyTorch, JAX, NumPy).
Experience with data processing, ETL pipelines, and data scraping, indicating foundational MLOps understanding.
Projects like 'OmnixRL' and 'SpinningUp-RL-JAX' show a strong interest and hands-on experience in building ML systems from scratch.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily focused on personal, research-oriented machine learning implementations. While this demonstrates strong technical initiative, there is no information regarding collaborative projects, team environments, or contributions to open-source projects beyond cloning, which limits the assessment of cultural fit for a team-oriented role. The target role 'Machine Learning Systems Engineer' requires a balance of individual contribution and system integration within a team, which is not explicitly demonstrated.

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

ogrl_sb

August 20, 2025 – September 21, 2025

This repository is dedicated to the project "Offline Goal Conditioned RL via Schrodinger Bridges"

View Project

data-processing

July 31, 2025 – Present

a high performance scalable library to extract, deduplicate, clean and anonymize data at scale.

View Project

eve-rag

June 11, 2025 – Present

This repository contains methods and experiments for RAG

View Project

OmnixRL

December 1, 2024 – January 14, 2025

OmnixRL is a Deep RL Library in JAX Framework inspired from "SpinningUp in Deep RL" openAI resource

View Project

data-scraping

November 20, 2024 – Present

Code for the main ETL pipeline to be utilized to collect and scrape data

View Project

SpinningUp-RL-JAX

August 5, 2023 – November 21, 2024

Clone of OpenAI Spinning Up RL Algorithms implemented in JAX

View Project

3D-BayesU-Net-Model

December 30, 2022 – June 11, 2023

Implementation of 3D Bayes U net model from the paper : "“Can Virtual Contrast enhancement in Brain MRI replace gadolinium? A Feasibility Study”.

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NormVAE-Neuroimaging

July 15, 2022 – June 19, 2023

Code Implementation of VAE Model inspired from NormVAE Paper using PyTorch Framework on Custom dataset

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ML-AlgorithmsKit

February 5, 2022 – June 10, 2023

Implementation of standard ML Algorithms from scratch using Numpy

View Project

My-Machine_learning-Blog

February 1, 2022 – April 4, 2023

This repo contains source files of my Machine learning blog hosted on github pages powered by fastpages.

View Project

Key Strengths

Extensive personal project experience in Machine Learning, particularly in Reinforcement Learning (RL), Variational Autoencoders (VAEs), and RAG systems.
Demonstrated proficiency in Python and related ML frameworks (PyTorch, JAX, NumPy).
Experience with data processing, ETL pipelines, and data scraping, indicating foundational MLOps understanding.
Projects like 'OmnixRL' and 'SpinningUp-RL-JAX' show a strong interest and hands-on experience in building ML systems 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 provided.

Sandesh Katakam

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit