Mohammad Owais

Aspiring Machine Learning Engineer | Software Developer
New Delhi, IN.

About

Highly motivated B.Tech student specializing in Electronics and Communication Engineering with a strong foundation in Machine Learning, Deep Learning, and Natural Language Processing. Proven ability to develop and deploy intelligent systems, evidenced by impactful internships in ML and SDE, and advanced projects in LLM implementation and video moment localization. Eager to leverage expertise in data analysis, predictive modeling, and full-stack development to contribute to innovative technological solutions.

Work

Nikah Forever
|

Machine Learning Intern

New Delhi, Delhi, India

Summary

As a Machine Learning Intern at Nikah Forever, Mohammad Owais analyzed sales data to identify key factors influencing subscription purchases and developed strategies for predictive modeling.

Highlights

Analyzed sales data from over 600K users to identify key factors influencing subscription purchases, significantly enhancing understanding of user behavior and market trends.

Preprocessed and structured complex raw backend data, enabling robust feature engineering and predictive modeling for future lead generation initiatives.

Researched and documented advanced strategies to effectively handle severe class imbalance, improving the accuracy and reliability of future lead prediction models.

Exatorial
|

SDE Intern

New Delhi, Delhi, India

Summary

As an SDE Intern at Exatorial, Mohammad Owais contributed to the development of Zarf, an Android application, building core functionality and integrating real-time backend services.

Highlights

Developed Zarf, an Android application, completing 30% of its core functionality within the internship period, accelerating product development.

Built robust UI components and implemented secure user authentication, leveraging React Native, Node.js, Express.js, and MongoDB for a seamless and secure user experience.

Connected real-time backend services using Firebase and Cloud Firestore, ensuring efficient data synchronization and responsiveness for enhanced user engagement.

Education

Jamia Millia Islamia
New Delhi, Delhi, India

B.Tech

Electronics and Communication Engineering

Grade: 8.4/10.0 CGPA

Awards

Research Poster Showcase - RIISE 2025

Awarded By

IIIT Delhi

Secured 4th position at the RIISE 2025 Research Poster Showcase, IIIT Delhi, for presenting our research titiled “SurveiLens: Video Moment Localization with Natural Language Processing.”

First Place, AI Matchverse ML Hackathon 2025

Awarded By

W3B - AI and Blockchain Society, JMI

Awarded First Place for innovative solutions in AI at the Matchverse ML Hackathon, showcasing advanced technical proficiency and problem-solving.

Smart Delhi Ideathon 2025 Qualified for Round 2

Awarded By

Smart Delhi Ideathon

Qualified for Round 2 of the Smart Delhi Ideathon, recognizing innovative ideas for urban development and smart city solutions.

Runner-Up, Hack-JMI, 2024

Awarded By

IEEE Student Chapter, Jamia Millia Islamia

Achieved Runner-Up position in the Hack-JMI competition, demonstrating strong collaborative and technical skills under pressure.

Third Place, Shark Tank JMI, 2024

Awarded By

180DC JMI

Secured Third Place in the Shark Tank JMI competition for project Pristine, recognized for its innovative concept and business potential.

$25 Cash Prize, Project Aqua

Awarded By

Xylem Global Innovation Challenge 2023

Received a $25 cash prize for Project Aqua in the Xylem Global Innovation Challenge, acknowledging an impactful solution.

Skills

Programming Languages

C, Python, HTML, CSS.

Machine Learning & AI

TensorFlow, PyTorch, Hugging Face Transformers, OpenCV, YOLO, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Large Language Models (LLMs).

Web & Backend Development

React Native, Node.js, Express.js, MongoDB, Firebase, Cloud Firestore.

Simulation & Data Tools

Silvaco ATLAS.

Projects

SurveiLens: Video Moment Localization with Natural Language Processing

Summary

A system designed for natural language-based retrieval in long videos, leveraging vision-language and caption-based methods, submitted to IEEE DELCON 2025.

First-Principles LLM Implementations

Summary

Implemented Transformer architecture from scratch and recreated LLaMA-2 (7B) for an English-to-Kannada translator, focusing on ethical and architectural innovation.

Simulating MOSFET: From TCAD to Neural Nets

Summary

An active research project simulating SiC MOSFETs using Silvaco ATLAS and developing a neural network pipeline for device performance prediction.