Bhavesh Laddagiri

Intern on AI

https://talent.gravityer.com/bhavesh-laddagiri

High on AI

CellStrat Inc.

Key Strengths

Extensive personal project experience in AI/ML, particularly in areas like Neuro-Symbolic AI, Neural Turing Machines, Object Detection, Meta-Learning, and NLP (BERT, T5).
Proficiency in Python and PyTorch/TensorFlow, which are core technologies for AI development.
Demonstrated ability to implement complex AI models from research papers (NTM, MAML).
Experience with deploying ML models (sentiment-analysis-deployment) and building AI backends (meetsy-backend).
Exposure to full-stack development concepts (JavaScript, HTML, CSS) in AI-related projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong interest and self-driven learning in cutting-edge AI/ML topics, which aligns well with an 'Intern on AI' role. The diversity of AI projects (VQA, NTM, Object Detection, NLP, Pose Recognition) suggests a broad curiosity and willingness to explore different sub-fields of AI. However, the lack of team-based projects or explicit collaboration details makes it difficult to assess cultural fit beyond individual technical drive.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and initiative in learning and implementing advanced AI concepts.

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Projects

meetsy-backend

January 6, 2023 – January 8, 2023

AI Backend for the Workshop on Building an End-to-End AI Meeting Assistant

View Project

waffleswap-v2

February 27, 2022 – April 6, 2023

A decentralized Exchange built over Ethereum using Solidity, Next.js & Tailwind CSS

View Project

abstract-to-title-generator

November 18, 2021 – April 8, 2024

A T5-based Seq2Seq Model that Generates Titles for Machine Learning Papers using the Abstract

View Project

neuro-symbolic-ai-soc

October 24, 2020 – October 28, 2021

Neuro-Symbolic Visual Question Answering on Sort-of-CLEVR using PyTorch

View Project

maml

July 31, 2020 – July 31, 2020

Model-Agnostic Meta-Learning in PyTorch

View Project

ntm

July 24, 2020 – July 24, 2020

A PyTorch Implementation of Neural Turing Machine

View Project

bert-finetuning-webinar

January 15, 2020 – August 8, 2021

Code for the FullStack AI Live Coding Series- Part 1 (CellStrat AI Lab)

View Project

object_detection_template

December 26, 2019 – December 29, 2019

Custom Object Detection using Tensorflow API

View Project

sentiment-analysis-deployment

December 10, 2019 – January 8, 2020

End to End Sentiment Analysis Project (Udacity Machine Learning Engineer Nanodegree)

View Project

virtex

September 7, 2019 – November 27, 2019

A Plug-n-Play Pose Recognition framework

View Project

Key Strengths

Extensive personal project experience in AI/ML, particularly in areas like Neuro-Symbolic AI, Neural Turing Machines, Object Detection, Meta-Learning, and NLP (BERT, T5).
Proficiency in Python and PyTorch/TensorFlow, which are core technologies for AI development.
Demonstrated ability to implement complex AI models from research papers (NTM, MAML).
Experience with deploying ML models (sentiment-analysis-deployment) and building AI backends (meetsy-backend).
Exposure to full-stack development concepts (JavaScript, HTML, CSS) in AI-related projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and initiative in learning and implementing advanced AI concepts.

Bhavesh Laddagiri

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit