Akshay Kulkarni

Data Scientist

https://www.opentalent.in/akshay-kulkarni

Engineer ig?

Dwarkadas J. Sanghvi College of Engineering

Key Strengths

Demonstrated interest and practical experience in various Machine Learning and Deep Learning domains, including Reinforcement Learning (SAC, HER), Imitation Learning (DAgger), NLP (Transformers, LLM fine-tuning), and traditional ML (Naive Bayes).
Proficiency in Python, a core language for Data Science, evidenced by multiple projects.
Experience with key ML/DL libraries and tools such as Hugging Face, OpenAI Gym, and Jupyter Notebooks.
Research internship experience at CDAC involving advanced RL algorithms for robotics.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards individual technical exploration and learning, which is valuable. However, the lack of team-based projects or roles beyond a current 'Data Scientist' position with no specified responsibilities makes it difficult to assess cultural fit, collaboration potential, or alignment with a team-oriented environment. The projects are diverse within the ML/AI domain, indicating a broad interest.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical projects and lacks details on collaborative work, problem-solving approaches, or communication styles.

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Assessing your cultural and operational fit

Projects

BhauLang

July 19, 2025 – July 27, 2025

A dynamically typed, compiled language which supports keyword agnostic architecture

View Project

Fine-Tuned-LLMs

July 21, 2024 – July 22, 2024

Trying out huggingface library to fine tune various models like BERT, GPT-2, T5, etc

View Project

RasaScribe

July 18, 2024 – July 20, 2024

A Rasa Chatbot which helps you with generation of scripts, captions and hashtags!

View Project

Machine-Translation

June 26, 2024 – June 28, 2024

Implementing transformer architecture from scratch and training it to perform English to Italian translation.

View Project

NLP-Specialization

June 26, 2024 – July 16, 2024

Coursework and Assignments for natural language processing specialization by deeplearning.ai

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FrankaEmikaRobot

June 3, 2024 – Present

CDAC Research Internship: Developing an experimental SAC algorithm + Hindsight Experience Replay (HER) for cybernetics, in this case to train a franka emika robot

View Project

Humanoid-Automation

May 20, 2024 – May 20, 2024

Using SAC algorithm to train the humanoid in mujoco environment.

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ImitationLearning-AutomatedCar

May 5, 2024 – May 5, 2024

Using imitation learning (DAgger algorithm) to solve the CarRacing environment in openai-gym.

View Project

Machine-Learning

January 29, 2024 – February 18, 2024

Learning various ml models

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NaiveBayesClassifier

January 28, 2024 – January 28, 2024

Creating a naive bayes classifier with numpy to create a confusion matrix of any categorical data

View Project

Key Strengths

Demonstrated interest and practical experience in various Machine Learning and Deep Learning domains, including Reinforcement Learning (SAC, HER), Imitation Learning (DAgger), NLP (Transformers, LLM fine-tuning), and traditional ML (Naive Bayes).
Proficiency in Python, a core language for Data Science, evidenced by multiple projects.
Experience with key ML/DL libraries and tools such as Hugging Face, OpenAI Gym, and Jupyter Notebooks.
Research internship experience at CDAC involving advanced RL algorithms for robotics.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Akshay Kulkarni

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit