Nirbhay Singh Naruka
Machine Learning Engineer | Generative
AI Specialist | Data Engineer
I architect intelligent systems that transform data into business value. Specializing in
Generative AI and ML pipelines, I build production-ready solutions like fine-tuned
LLMs and RAG systems. My work bridges cutting-edge tech (TensorFlow, LangChain, Hugging Face)
with
measurable outcomes - from 70% cost savings at National Public Radio to Forbes 30 Under 30
recognition. With an MS in Business Analytics and Fortune 500 experience, I solve complex
problems where data meets
decision-making.
Professional Journey
An interactive timeline of my career progression. Click on a company to see the details.
Education & Academic Foundations
My education provides a strong base. It combines deep theory with practical skills, shaping my data-driven approach.
Master of Science in Business Analytics
California Polytechnic State University-San Luis Obispo, CA
(August 2023 - June 2024) • GPA: 3.8/4.0
This program honed my analytical mindset and cutting-edge technical skills for success in today's data analytics marketplace.
Key Learning Areas & Acquired Skills:
- Advanced Machine Learning & Data Mining: Predictive analytics, model evaluation (e.g., ROC-AUC, F1-Score), deployment strategies, classification, regression, clustering.
- Generative AI & Text Mining: Social media analytics, natural language processing (NLP), large language model (LLM) applications, prompt engineering, retrieval-augmented generation (RAG).
- Data Management & Big Data Technologies: Relational database management systems, data warehousing, data marts, distributed data environments (NoSQL), SQL for data quality and integration, BigQuery.
- Advanced Statistics & Econometrics: Hypothesis testing, linear and multiple regression, ANOVA, time series analysis, quantitative marketing analytics, causal inference.
- Cloud Services & Applications for Business Analytics: AWS (SageMaker, S3, Lambda), GCP, cloud-based data solutions, MLOps practices.
- Optimization & Prescriptive Analytics: Linear programming, simulation, decision-making under uncertainty.
- Data Visualization & Communication: Storytelling with data, dashboard design (Looker, Power BI), effective presentation of insights.
- Business Metrics & Analytics: Problem framing, data collection, cleaning, and analysis, ethical considerations in data, business process optimization.
- Team Science & Innovation: Collaborative problem-solving, design thinking, cross-functional team leadership.
Bachelor of Technology in Computer Science and Engineering
SRM Institute of Science and Technology (SRMIST), India
(July 2017 - May 2021)
This program provided a strong theoretical and practical foundation in computer science, instilling problem-solving abilities.
Key Learning Areas & Acquired Skills:
- Core Programming & Data Structures: C/C++, Java, Python, advanced data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching, dynamic programming).
- Object-Oriented Design & Software Engineering: Principles of OOP, software development lifecycle (SDLC), project management, version control (Git).
- Database Management Systems: Relational database concepts, SQL, database design, normalization, query optimization.
- Operating Systems: Process management, memory management, file systems, concurrency, Linux fundamentals.
- Computer Networks: Network protocols (TCP/IP), network architecture, data communication, cybersecurity basics.
- Computer Organization & Architecture: CPU design, memory hierarchy, assembly language, digital logic.
- Theory of Computation: Formal languages, automata theory, computability, complexity.
- Web Technologies: HTML, CSS, JavaScript, basic web development frameworks (e.g., Flask concepts).
- Mobile Application Development: Android development principles (Java/Kotlin concepts), Dart/Flutter for cross-platform.
- Artificial Intelligence & Machine Learning: Introduction to AI concepts, basic search algorithms, supervised and unsupervised learning paradigms.
- Mathematics for Computing: Discrete mathematics, calculus, linear algebra, probability, and statistics.
Technical Skillset
A visual overview of my core competencies, followed by a detailed breakdown of all my skills, filterable by category.
🧠 Machine Learning & AI
My expertise in building intelligent systems, from predictive models to generative AI.
TensorFlow, Keras, Scikit-learn, PyTorch, Hugging Face, LangChain, LLMs (GPT, BERT), Classification, Regression, Clustering, RAG.
💻 Programming & Databases
Foundational skills in coding and managing structured and unstructured data.
Python, SQL (BigQuery, PostgreSQL), R, JavaScript, NoSQL (MongoDB), Firebase, C/C++.
☁️ Cloud & Data Engineering
Building scalable data infrastructure and deploying solutions on leading cloud platforms.
AWS (S3, SageMaker, Lambda), GCP, ETL Pipelines, Data Modeling, Docker, CI/CD (GitHub Actions).
📊 BI & Visualization Tools
Transforming data into clear, actionable insights through powerful dashboards and reports.
Looker, Power BI, Tableau, Matplotlib, Seaborn, Plotly, Streamlit.
Comprehensive Skill Breakdown
Projects & Publications
Explore my work. This section highlights key projects and publications, from research to hands-on development.
Stock Analysis Model
Publication - ASIANCON 2021
I developed a predictive model for stock analysis. Using machine learning, this model improved investment decision-making. My research focused on analyzing prospective stocks to enhance outcomes.
Churn Prediction
Project at Salesforce
Led development of HR churn prediction system using TensorFlow/Keras, integrating real-time GenAI insights from employee communications I improved accuracy by 20%. I deployed it via a React/Flask interface, enabling real-time analysis for HR.
Generative AI & LLM Workflows
Personal & Academic Projects
I built several Generative AI projects. This included fine-tuning GPT-2 for text generation. I also developed Retrieval-Augmented Generation (RAG) systems for document Q&A, using LangChain and modern APIs.
Consumer Behavior Analysis
Project at Claritas
Applied K-means clustering and Random Forest models to segment consumer behavior from diverse datasets, improving marketing personalization and strategy. Improved ETL pipeline efficiency by 30% using SQL and AWS Lambda.
My Personal Website
Portfolio
A curated collection of my professional work, projects, and detailed case studies showcasing my skills in action.
Forbes 30 Under 30 Showcase
Achievement at BAKUP
Contributed as a Full Stack Developer to a multi-language website with integrated APIs, which was showcased at the Forbes 30 Under 30 event in Detroit, 2019.
MovieLens Recommendation System
Academic Project
Built a movie recommendation engine using collaborative filtering with TensorFlow and Keras, focusing on embedding layers and dot product scoring.
Financial Fraud Detection
Academic Project
Created a lightweight binary classifier using Neural Networks for imbalanced fraud datasets, employing Dropout and SMOTE for robust performance.
Heart Attack Risk Classification
Academic Project
Developed models (Logistic Regression, Decision Tree, KNN) to classify heart attack risk, providing actionable insights on risk factors.
House Price Estimation
GSB 544 Project
Developed a property pricing model pipeline using XGBoost, RandomForest, Ridge, and Lasso regressions with extensive feature engineering.
Recurrent Neural Networks (RNNs)
Academic Project
Built models for sequence prediction and text classification using TensorFlow and Keras (LSTM layers), applied to airline satisfaction and text datasets.
CNNs for Image Classification
Academic Project
Trained convolutional models for high-accuracy image classification tasks using Keras and TensorFlow, achieving over 90% accuracy on MNIST.
SRM Docker
Academic Project
Developed a Docker-based solution for SRM University, likely related to streamlining development or deployment environments.
BAKUP Website
Company Project
Contributed to the development of the BAKUP multi-language website with integrated APIs, a project showcased at Forbes 30 Under 30.
ToDo-Notes-App
Personal Project
Developed a mobile ToDo and Notes application, demonstrating proficiency in mobile app development principles.
ScrapSrm-Academia
Academic Project
A project focused on scraping academic data from SRM University, likely for analysis or utility purposes.
E-Commerce Grocery
Personal Project
Developed an e-commerce platform for groceries, showcasing full-stack development skills and database integration.
Course App
Personal Project
Developed a web application for managing courses, demonstrating skills in user interface design and data management.
CareIndia App
Academic Project
Developed a mobile application for "CareIndia", likely focused on social impact or healthcare, showcasing mobile development skills.
App - Car Rental Service
Personal Project
Developed a mobile application for a car rental service, demonstrating full-stack mobile development capabilities.
Website - Car Rental Service
Personal Project
Developed a web-based platform for a car rental service, showcasing web development and database integration.
Research & Publications
My contributions to academic research and technical discourse.
Prospective Stock Analysis Model to improve the investment chances using Machine Learning
Published at Asian Conference on Innovation in Technology (ASIANCON) 2021
This research focused on developing a predictive model using machine learning techniques to analyze prospective stocks, aiming to enhance investment decision-making and improve overall investment outcomes. It demonstrates a practical application of ML in financial analysis.
View Publication →Medium Blog Articles
Ongoing Technical Contributions
- Exploring Digital Art in the Cloud: Analyzing r/place 2023 Dataset with AWS SageMaker and S3.
- SQL Simplified: Learn to Communicate with Your Database.
- The Data Paradox: Emphasizing the importance of extracting meaningful information from vast amounts of data.
- Cyber Threat Analysis (Two-part series): Leveraging AWS services (SageMaker, Lambda, CloudWatch) for automated and efficient data analysis in a cloud environment.
Let's Connect
I'm always open to discussing new projects, creative ideas, or opportunities to be part of an ambitious team.
