Hello, I am

Sagar Kumar

Software Developer & Machine Learning Engineer.

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The Architecture
of My Skills.

2

Tech Internships

3+

Leadership Roles

100+

Members Mentored
Open to Roles

B.Tech CSE Undergrad at AUGN

I aim to build a holistic understanding of the technology landscape by working across enterprise systems, product development, and application development. From SAP-based solutions to building and enhancing AI/ML models and applications, I focus on exploring and evolving new technologies with a strong systems-level perspective.

Core Stack

+
  • Python
  • Dart
  • C++
  • Java
  • C#
  • SQL
  • SAP ABAP

AI & ML Ecosystem

+
  • TensorFlow
  • PyTorch
  • Keras
  • Computer Vision
  • OCR Pipelines
  • Google Gemini API
  • OpenAI API
  • Claude API
  • NumPy & Pandas
  • Scikit-learn
  • Neural Network Architecture

Frameworks & Tooling

+
  • Flutter
  • Firebase
  • MoviePy (Video Automation)
  • Tkinter (Desktop GUI)
  • Enterprise Cloud Architecture
  • Next.js
  • Brevo SMTP

Beyond Code

When I'm not coding, you may find me on the football field. I don't play really well but I love football, it's a part of my life.

Experience &
Leadership.

Machine Learning Engineer Intern

AICTE (IBM SkillsBuild)

Jun 2025 – Jul 2025
  • Developed and evaluated supervised and unsupervised learning models in Python.
  • Applied core ML techniques through project-based implementations and mentor-guided technical evaluations.

SAP ABAP Developer Intern

CorporateServe Solutions Pvt. Ltd.

Jun 2024 – Dec 2024
  • Assisted in ABAP development and debugging across SAP modules.
  • Supported code reviews, performance tuning, and documentation.

Student Research President

AUGN Research Society (IETE)

Sep 2025 – Present
  • Leading a 60+ member research-focused student body organizing AI/ML workshops and technical discussions.

Technical President & Core Member

Fusion Tech Club

Aug 2023 – Present
  • Mentoring 100+ members across AI/ML initiatives and technical competitions.
  • Organized key events: Ideathon 2.0, Codathon 3.0, and E-Hackathon.

Vice President & Co-Founder

ASET E-Cell

Dec 2024 – Present
  • Co-founded the Entrepreneurship Cell to support student-led startups and innovation.
  • Organized multiple hackathons and entrepreneurship workshops.

Selected
Innovations.

Transformer Architecture
Research Experience / Deep Learning

Reinforced Sparse Attention (RSA)

Designing a reinforcement-driven sparse attention mechanism to reduce Transformer self-attention complexity from O(n²) to near O(n) for long-sequence modeling. Evaluating sparsity policies, computational efficiency, and performance trade-offs across large-scale tasks.

Sentiment Classification
Machine Learning / NLP

Transformer vs LSTM Review

Built and evaluated LSTM and Transformer models for sentiment classification. Conducted a comparative study analyzing accuracy, training efficiency, parameter complexity, and generalization performance.

Python / MoviePy / Google Gemini
AI Automation Pipeline

VIDGEN YouTube Automation

A complete YouTube automation tool designed for educational content creation. Leverages Google Gemini to automatically generate programming Q&A, and MoviePy to dynamically render short videos with custom overlays. Includes secure API key rotation and automated public uploading processes.

Machine Learning / Image Processing
Computer Vision System

E-Waste ImgClassifier

An application designed to classify electronic waste by assessing device damage. Detects broken devices, classifies damage severity (intact, minor, moderate, severe), and estimates an overall damage percentage. Delivered via a simple web interface and integration-ready API endpoints.

NumPy / MNIST Dataset
Neural Networks Optimization

Neural Network from Scratch

Implemented a fully connected neural network in NumPy with absolute manual backpropagation. Compared SGD, Momentum, RMSProp, and Adam on the MNIST dataset, analyzing convergence and generalization behavior.

Education &
Credentials.

Amity University

B.Tech in Computer Science & Engineering

Greater Noida • CGPA: 7.82 / 10 • (2023 - 2027)


Coursework: Linear Algebra, Probability & Statistics, Machine Learning, Design & Analysis of Algorithms.

DAV Public School

Ghaziabad • (2016 - 2023)

Licenses & Certifications

Foundational C# with Microsoft
Artificial Intelligence Fundamentals
Oracle Fusion Cloud Applications ERP
SAP BTP ABAP Environment Setup
Data Scientist Associate

Let's Build.

Currently exploring new ML engineering and software development opportunities.