Hey Everyone!

I'm Govind Kumar



The Data Scientist

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Name: Govind Kumar

Designation: Data Scientist

Experience: 2+ years as a Data Scientist @Turing (Los Angeles, USA)

Address: Hyderabad, India

SkilloMeter:

Python, R and SQL:- 95%
Data Structures and Algorithms:- 90%
AI and Machine Learning:- 90%
Deep Learning with NLP:- 90%
Generative AI with LLMs:- 90%
Statistics and Data Analysis 90%

About

About Me

I'm Govind Kumar. My journey in the world of data began with a simple curiosity – how can numbers tell stories. Growing up, I was always fascinated by how patterns emerge in everyday life, and this passion led me to explore Mathematical operations and I started as mathematics mentor and explored the depth of Mathematics. But this limited data did not quenched my thirst of learning patterns and forming conclusions which led me explore data science & analytics. Over the years, I've honed my skills in Python, R, SQL, Machine Learning, Deep Learning, NLP, Computer Vision and Generative AI etc. Working on various projects that turn raw data into actionable insights. From Predictive Models, Summarizing text, Detecting Spam or Ham in Deep Learning, insightful dashboards for businesses to creating Chatbot with Generative AI concepts for business requirement, I've enjoyed solving problems and helping people see the bigger picture. When I'm not diving deep into data, you can find me exploring new tech trends, writing a Code or playing a game of either cricket or chess. Welcome to my corner of the web, where I share my journey, projects, and insights into the world of Data Science and Artificial Intelligence.

  • Profile: Data Science & Artificial Intelligence
  • Domain: Finance, Retail, Ecommerce, Healthcare, Technology and It services.
  • Education: Master's in Data Science
  • Language: English and Hindi
  • BI Tools: Microsoft Power BI
  • Other Skills: Clouds(AWS, GCP), Git, Flask, VMWare, AI Agent Creation & MySQL
  • Interest: Traveling, Swimming, Cricket, Yoga & Meditation

1 +   Projects Completed

LinkedIn

Resume

Resume

Experienced AI Engineer and Data Scientist specializing in Large Language Models (LLMs), Generative AI, Prompt Engineering, and Intelligent Automation. Skilled in designing multi-turn AI agent workflows, evaluating multimodal model performance, and building scalable AI-driven systems for real-world applications. Hands-on experience in RLHF (Reinforcement Learning with Human Feedback), LLM benchmarking, tool-calling evaluation, and structured dataset creation for fine-tuning advanced AI models.

Worked on AI agent evaluation pipelines involving applications such as VS Code, Chrome, Thunderbird, LibreOffice, and Linux utilities, developing Python-based evaluators to validate reasoning, task completion, and tool-use behavior. Experienced in crafting adversarial, structured extraction, and multimodal prompts across text, image, and audio domains to improve model reliability, safety, and conversational quality.

Strong background in Machine Learning, NLP, Computer Vision, OCR-based document intelligence, and MLOps, with experience building enterprise AI solutions including intelligent invoice processing systems and Retrieval-Augmented Generation (RAG) applications. Proficient in Python, AWS, CI/CD pipelines, LangChain, TensorFlow, PyTorch, and modern AI deployment workflows. Passionate about developing practical AI systems that enhance automation, reasoning accuracy, and user experience across enterprise and consumer applications.

Experience


March 2024 - Present

Data Scientist - Full Time

Ray Bussiness Technologies

Ray Business Technologies, established in 2009, provides AI, Cloud, ERP, and Digital Transformation solutions globally. CMMI Level 3 and ISO 27001:2022 certified, they serve Fortune 1000 companies with innovative, customer-centric IT services.

  • Worked on Artificial Intelligence and Machine Learning projects using Python and R, developing AI-driven document intelligence systems with OCR, coordinate-based extraction, automated validation pipelines, and self-learning workflows. Built scalable enterprise AI solutions focused on intelligent automation, document processing optimization, and accuracy improvement using Machine Learning, NLP, Computer Vision, and Generative AI techniques.

September 2024 - Present

Data Scientist (Contractor)

Turing Enterprises

​Turing Enterprises Inc., founded in 2018, is a Palo Alto-based AGI infrastructure company advancing AI reasoning and coding capabilities, serving over 900 companies, including Fortune 500 firms, Based in Los Angelel, USA.

  • AI Trainer – Agent Functional Call | Turing Enterprises| Worked on Reinforcement Learning with Human Feedback (RLHF) and multimodal AI training projects focused on improving the performance, reasoning, and reliability of Large Language Models (LLMs). Designed and evaluated high-quality prompts across image, text, audio, and multi-turn conversational tasks to enhance model alignment, contextual understanding, and response accuracy.
  • Developed realistic multi-turn OS-level agent workflows and functional datasets to evaluate AI agents across applications such as VS Code, Google Chrome, Mozilla Thunderbird, LibreOffice, and Linux utilities. Built Python-based evaluation pipelines and automated validators to test tool-calling behavior, task execution accuracy, API interactions, reasoning capability, and real-world task completion.
  • Crafted adversarial, structured extraction, and multimodal prompts to identify and mitigate model weaknesses, improve safety, and enhance conversational quality. Evaluated model performance using custom metrics and benchmarks, providing actionable feedback to engineering teams for iterative improvement.
  • Worked extensively on prompt engineering and model evaluation using structured rubrics, comparing multiple model responses based on accuracy, relevance, reasoning quality, safety, instruction-following, and user intent alignment. Designed adversarial prompts to identify model failure cases and improve robustness, along with structured extraction prompts for extracting precise information from images, documents, and UI-based environments.
  • Contributed to multimodal AI training through nutrition and edibility evaluation tasks, helping models generate context-aware and safe responses related to food, consumables, and dietary guidance. Also worked on audio-based conversational AI tasks involving regional English accents including Indian, American, and Australian English, improving speech understanding, multilingual conversational flow, and multi-turn context retention.
  • Utilized Python and AI evaluation frameworks for dataset generation, trajectory analysis, benchmarking, and quality validation, contributing to LLM fine-tuning, agent reliability improvement, tool-use accuracy, and scalable conversational AI system development.

June 2019 - April 2023

Senior Mathematics Instructor

Global Institute & Eklavya International School, Bhopal

Global Institute is a coaching institute for board and competitive exam preparation, including IIT-JEE & NEET, while Eklavya International is a school focused on board exam preparation.

  • Delivered comprehensive mathematics instruction to high school students, enhancing their understanding and performance in complex concepts.
  • Implemented personalized teaching strategies, boosting student engagement and test scores by approximately 20%.
  • Designed tailored lessons to foster critical thinking and problem-solving skills in a supportive learning environment.
  • Collaborated with educators to refine curriculum development, ensuring alignment with academic standards and student needs.



Education


2026-Present

Master of Science in Data Science

International Institute of Information Technology, Hyderabad (IIIT-H)

Grade: Currently Pursuing

2023-2025

Full Stack Data Science

Physics Wallah Skills

Grade: First class distinction.

2015-2020

Bachelor of Technology - Computer Science

Rajiv Gandhi Proudhyogiky Vishwavidhyalay

Grade: First class distinction.

2014-2015

Diploma In Computer Applications

Makhanlal Chaturvedi National University of Journalism

Grade: First class distinction.

2012-2014

Higher Secondary School

Model School

Grade: 76% with Mathematics Stream

Download CV

Projects

Projects

Below are some End to End Data Science projects on Invoice Data Extraction, Python, Machine Learning, Deep Learning, Generative AI and LLMs

Intelligent Invoice Extraction using Kofax Replacement

An AI-powered Invoice Intelligence & Self-Learning Validation System to automate invoice extraction, validation, and processing using OCR, coordinate-based extraction, and intelligent automation workflows. Designed as a scalable replacement for Kofax-based systems, the solution improved extraction accuracy, reduced manual validation effort, and accelerated enterprise document processing.

Chicken Disease Classifier Using Machine Learning-Deep Learning

A Deep Learning–based Chicken Disease Classification System using Convolutional Neural Networks (CNN) to detect and classify poultry diseases from image data. Built an end-to-end AI pipeline including data preprocessing, model training, prediction APIs, and cloud deployment with CI/CD automation, enabling accurate and scalable disease detection for poultry health monitoring.

LLM-Powered Retrieval-Augmented Generation (RAG) Chatbot

Developed an LLM-powered Fintech Knowledge Assistant using Retrieval-Augmented Generation (RAG) to provide intelligent, context-aware responses for banking, finance, and loan-related queries. Built a conversational AI system with document upload, semantic search, vector embeddings, and real-time question answering using LangChain, Transformers, and Streamlit, enabling users to interact with financial documents through a ChatGPT-like interface.


Multi-Turn AI Agent Evaluation Pipeline (Turing)

Designed and developed a Multi-Turn AI Agent Evaluation Pipeline to benchmark Large Language Models (LLMs) across real-world desktop and OS-level applications such as VS Code, Chrome, Thunderbird, LibreOffice, and Linux utilities. Built Python-based evaluators and structured task workflows to validate tool-calling behavior, reasoning accuracy, API interactions, and task completion, contributing to AI agent reliability, RLHF training, and scalable evaluation dataset generation.

Open Source Contribution - Credit Card Default Prediction System

Contributed to an open-source Credit Card Default Prediction project by developing and optimizing a Machine Learning pipeline for risk assessment using supervised classification techniques. Implemented data preprocessing, feature engineering, model training with Random Forest, and deployment workflows with AWS and CI/CD automation, improving prediction accuracy and scalability for real-world financial analysis.

0 + Achievements
0 + Projects
0 + Mentored Students
0 + Successful Deployments

More projects on Github

Passionate about building intelligent AI systems that solve real-world problems, I enjoy transforming complex data, workflows, and human interactions into scalable, impactful solutions through Machine Learning, Generative AI, and intelligent automation.


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Hyderabad, India

Contact Number

+917489048673

Email Address

Govind26663355@gmail.com

Download Resume

Govind Kumar



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