Hello, I'm

Atul Kumar

Machine Learning & Data Enthusiast

Building intelligent algorithms, automating data pipelines, and transforming unstructured data into actionable insights.

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Atul Kumar

About Me

Engineering student at Birla Institute of Technology, Mesra (B.Tech Chemical, 2023–Present). Passionate about technology-driven problem-solving and machine learning.

My toolkit includes Python, Scikit-learn, SQL, and Deep Learning. I thrive on processing large datasets and building AI-driven features to deliver innovative digital experiences.

Interests & Focus Areas

Machine Learning Data Pipeline Automation Computer Vision Predictive Modeling
TREND ANALYSIS
DEEP LEARNING
PREDICTIVE MODELS
NLP
COMPUTER VISION
DATA PIPELINES

Experience

Apr 2026 – Present

Web Development Intern

Zaalima Development (Remote)

  • Developing a dashboard UI to manage and track 100+ AI-generated extensions, improving workflow visibility and user experience.
  • Implementing an "Edit Request" feature enabling real-time modification of generated code via prompts.
  • Building subscription-based feature gating for API-driven functionalities and actively deploying the subscription workflow.
  • Integrating code sanitization pipelines and conducting ongoing security audits to prevent malicious outputs in AI-generated code.

Education

2023 – Present

B.Tech in Chemical Engineering

Birla Institute of Technology, Mesra

Pursuing Bachelor of Technology in Chemical Engineering.

2021 – 2022

Higher Secondary (Class 11, 12)

Chinmaya Vidyalaya, Bokaro Steel City

Certifications

Certifications & Job Simulations

  • Deloitte Data Analytics Job Simulation (Forage)
  • Data Analyst Bootcamp (Udemy)

Featured Projects

Automated Email Outreach System

Feb 2026

Developed a Python CLI tool to automate email outreach to 100+ HR using structured CSV data. Integrated secure Gmail SMTP with environment variable authentication to prevent credential exposure. Built data validation and preprocessing pipeline to handle missing/invalid entries. Implemented rate-limited batch delivery with error handling, reducing manual effort by 90%.

Python Pandas SMTP Validation

Dental Caries Segmentation (YOLOv8s-Seg)

Jan 2026

Built an end-to-end instance segmentation pipeline for detecting dental caries from radiographic images. Trained model on 768×768 images using AdamW optimizer with cosine learning rate scheduling. Achieved 22.6% mask recall using Precision, Recall, and mAP evaluation metrics.

Deep Learning YOLOv8s-Seg Computer Vision

Market Regime Detection

Dec 2025

Analyzed NIFTY 50 data (2018–2025) using rolling returns and volatility features. Applied unsupervised clustering to classify market regimes into bull, bear, and sideways states. Identified return-volatility patterns to improve interpretability of market conditions.

Machine Learning Scikit-learn Time Series clustering

Technical Expertise

Programming & Libraries

Python, C, C++, Scikit-learn, NumPy, Pandas, PyTorch

Machine Learning Concepts

Supervised & Unsupervised Learning, Regression, Classification, Clustering, Model Evaluation

Databases, Tools & Cloud

MySQL, DBMS, Power BI, MS Excel, Tableau, AWS, Google Cloud

Web & Technologies

HTML, CSS, JavaScript, WordPress, Git, Docker, Jupyter Notebook

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