Parv Daga

Software Developer | Machine Learning Engineer
102, Pashva Palace ,12 Mahaveer Nagar, 452018, Indore, IN.

About

Highly motivated B.Tech student specializing in Computer Science with a minor in AI/ML, bringing hands-on experience in full-stack development, machine learning, and automation. Proven ability to build scalable applications, optimize processes, and deliver impactful technical solutions, eager to contribute to innovative software development and AI initiatives.

Work

Tuleip AI Solutions
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Software Developer Intern (Remote)

Indore, Madhya Pradesh, India

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Summary

Developed production-grade full-stack features and automated workflows for AI/ML solutions, leveraging React.js, Node.js, Python, n8n.io, LLM APIs, and NLP tools.

Highlights

Developed production-grade full-stack features using React.js and Node.js microservices, increasing system efficiency by 25%.

Crafted user-focused UI/UX and automated workflows with Python and n8n.io, boosting video summarization speed by 30%.

Architected and implemented automation workflows for video summarization via LLM APIs using Python and n8n.io, enhancing processing efficiency by 30%.

Leveraged NLP and prompt engineering for information retrieval tasks, reducing manual post-editing by 25%.

Volunteer

Linux Club
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President

Bhopal, Madhya Pradesh, India

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Summary

Led club strategy, spearheaded major events, and coordinated hackathons, driving significant engagement and financial success for the organization.

Highlights

Directed club strategy and spearheaded AdVITya 2024 & 2025 events, engaging over 600 participants.

Generated Rs. 2 lakh in revenue and Rs. 1 lakh in profit through strategic partnerships and targeted digital marketing initiatives.

Coordinated the 'Cyber Save Hackathon' with MP Police, providing hands-on cybersecurity training to over 200 participants.

Education

VIT Bhopal University
Bhopal, Madhya Pradesh, India

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BTech

Computer Science; Artificial Intelligence & Machine Learning

Grade: 8.45/10

Languages

Hindi

Native

English

Fluent

Certificates

Online Course in Applied Machine Learning in Python

Issued By

University of Michigan (Coursera)

Skills

Full Stack Development

React.js, Next.js, Node.js, TypeScript, Supabase, Tailwind CSS, Express.js, MongoDB.

Machine Learning

TensorFlow, CNNs, RNNs, NLP, Prompt Engineering, Langchain, LLM APIs.

Programming Languages

Python, JavaScript.

Tools & Libraries

n8n.io, OpenCV, SpeechRecognition, pyttsx3, NumPy, Matplotlib, Pandas.

Databases

Supabase, MongoDB.

Projects

Email Listener System

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Summary

Developed an automated email listener system using Python for efficient process automation.

Travel Agency Payment Management System

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Summary

Constructed a scalable full-stack transaction platform using Node.js, React, and MongoDB, enabling secure online and offline payment processing for travel bookings, integrated with WhatsApp API.

Microtaskvault – AI-Powered SaaS Platform

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Summary

Designed and built a scalable, AI-powered SaaS platform using Next.js, Tailwind CSS, Supabase, and ML models, resolving critical bugs and optimizing microtask processing.

Smart Object Detector (YOLOv8 + Voice Control)

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Summary

Built a real-time object detector achieving 95% accuracy using YOLOv8, Python, OpenCV, SpeechRecognition, and pyttsx3, integrating voice command functionality.

Solar Radiation Prediction Using Regression

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Summary

Applied Linear Regression to weather datasets using Python, NumPy, and Matplotlib, achieving 85% accuracy in solar radiation prediction.

Instance Segmentation for Plant Leaf Disease Detection

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Summary

Implemented instance segmentation techniques using Computer Vision and Machine Learning for accurate plant leaf disease detection.