Nisheeth Golakiya

Frontend Developer

https://talent.gravityer.com/nisheeth-golakiya

Bengaluru, Karnataka, IndiaMember since June 15, 2026

Key Strengths

Demonstrated interest in Machine Learning and AI through projects like 'pred-rnn', 'hybrid-sac', and 'carla-rl'.
Experience with multiple programming languages including Python, Java, JavaScript, C++, HTML, CSS, and Shell.
Personal projects indicate a proactive approach to learning and development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project diversity, spanning AI/ML, web development, and system programming, suggests adaptability and a broad interest in technology. However, without experience or education details, it's difficult to fully assess cultural fit beyond technical curiosity.

Soft Skills & Operational Fit

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

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Projects

portfolio-rag

May 18, 2026 – Present

In-browser portfolio RAG powered entirely on-device.

View Project

nisheeth-golakiya.github.io

May 18, 2026 – Present

My personal page

View Project

hybrid-sac

May 24, 2021 – June 25, 2021

Single-file pytorch implementation of hybrid-SAC

View Project

carla-rl

May 24, 2021 – May 24, 2021

RL environments and trained agents in CARLA using RLlib

View Project

pred-rnn

December 27, 2017 – October 9, 2019

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

View Project

ftp_service

November 2, 2017 – October 13, 2019

Web-based ftp client-server

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SoundProfile

March 30, 2017 – February 1, 2019

CSN-254 Project

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CSN212-HW

February 12, 2017 – October 13, 2019

Homework solutions for CSN-212

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NotifyMe

February 7, 2017 – October 13, 2019

NotifyMe — GitHub repository

View Project

NotifyMe

February 7, 2017 – February 8, 2017

NotifyMe — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning and AI through projects like 'pred-rnn', 'hybrid-sac', and 'carla-rl'.
Experience with multiple programming languages including Python, Java, JavaScript, C++, HTML, CSS, and Shell.
Personal projects indicate a proactive approach to learning and development.

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 are available.

Nisheeth Golakiya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit