Priyanshu
Tiwari
A multidisciplinary AI/ML researcher blending innovative research with practical implementations to build next-generation AI solutions that deliver tangible results. Passionate about driving breakthroughs across domains such as Medical Imaging, Electrical Systems, Biotechnology, Finance, and Mechanical Engineering through the power of Artificial Intelligence and Machine Learning.
About Me
AI Researcher and Machine Learning Engineer
Open Source Projects
AI & ML solutions developed
Research Projects
AI & ML solutions developed colaborated with Multiple Field
Publications
Research papers published
Research Positions
DRDO-CAIR, DRDO-MTRDC, UBC
license & Certification
Various Technical or Non Technical Certification
My Journey
My passion for artificial intelligence began during my undergraduate studies, where I became fascinated with how machine learning could solve complex problems across various domains.
As a research intern at DRDO and UBC, I've had the opportunity to work on challenging projects that push the boundaries of what's possible with AI and ML technologies.
I've presented my work at multiple international conferences including ICRAI, CSEAI, AIDE, and ICST, sharing my findings with the global research community.
Technical Expertise
Programming
ML/AI Focus
Tools & Technologies
Education
Kendriya Vidyalaya
PCMCS 10+2
2010 - 2022
Grade: 1st class
Sir M Visvesvaraya Institute of Technology
Artificial Intelligence and Machine Learning (B.E)
2022 - 2026
CGPA: 8.00
Experience
Professional Journey & Open Source Contributions
Lead Machine Learning Engineer
AI & Product Development | Genie AI
- Spearheading development of BOS (Business Operating System), an integrated communication platform with advanced chat capabilities
- Engineering and optimizing Avatar FX modules to enhance user interaction and visual identity
- Architecting Knowledge Graph systems for complex data retrieval, relational mapping, and AI-driven insights
GSoC 2026 Mentor
Open Source Mentor | INCF and Mifos Initiative | Google Summer of Code
- Mentoring contributors across two organizations under Google Summer of Code 2026
- Guiding development on Mifos X Model and AI Integration under Mifos Initiative
- Mentoring projects on neuron brain simulation and Harmony Hub under INCF in collaboration with University of Manchester and McGill University
- Providing technical guidance on LLMs, transformer architectures, and financial AI systems
AI Developer
Applied AI & Data Science | MobileByteSensei
- Developed Instagram Reel scraper and browser extension for categorized video extraction
- Designed fare prediction models for Ola, Uber, and Rapido using statistical and probabilistic techniques
- Achieved 89.43% prediction accuracy through optimized modeling and validation
Google Summer of Code (GSoC) 2025 Contributor
Open-Source Developer | International Neuroinformatics Coordinating Facility (INCF)
- Developed "Harmony Hub": generative AI platform for adaptive music learning using transformers
- Built music learning LLM to enhance student engagement
Mifos Summer of Code (MSoC) 2025 Contributor
Open-Source Developer | Mifos Initiative
- Enhanced Bank Statement Analyzer Phase 2
- Developed recommendation models for personalized financial insights
Research Intern
Defence Research & Development Organisation | DRDO – Microwave Tube Research & Development Centre (MTRDC)
- Conducted research on machine learning applications for predicting and controlling the frequency of Traveling Wave Tubes using a Feedforward Neural Network (FNN).
Machine Learning Researcher
Research & Development | Unboxing Community
- Developed a recommendation system for an e-commerce platform using collaborative filtering and deep learning techniques.
Research Intern
Defence Research & Development Organisation | DRDO – Centre for Artificial Intelligence and Robotics (CAIR)
- Worked on NLP-based research focusing on 'Transformer-Based Text Summarization for News Articles.'
Research Focus
My research explores the frontiers of artificial intelligence and machine learning, with a focus on practical applications and theoretical advancements.
Deep Learning Applications
Developing novel architectures for computer vision tasks with a focus on efficiency and accuracy.
Natural Language Processing
Investigating transformer-based models for contextual understanding and semantic analysis.
Reinforcement Learning
Exploring multi-agent systems and policy optimization techniques for complex environments.
Selected Publications
Recent research publications in peer-reviewed journals and conferences
Optimizing FAANG Stock Forecasting — The Power of Feature Engineering and LSTM in Financial Analysis
IEEE 5th International Conference on Artificial Intelligence and Data Engineering
2025
Enhancing Fare Prediction Accuracy in Ride-Hailing Through Neural Networks and Data Simulation
IEEE 5th International Conference on Artificial Intelligence and Data Engineering
2025
Prediction of Traveling Ka Band Wave Tube Amplifier Characteristics Using FNN
2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS)
2025
GIS-Based Urban Traffic Simulation Using Mesa Framework
Springer 2nd International Conference on Computing Science and Artificial Intelligence
2024
Dynamic Stability Classification in Smart Grids Using Feedforward Neural Networks
Springer IEI Journal (Q3) - International Conference on Sustainable Technology
2024
A small selection of recent projects
Showcasing the practical applications of my research in artificial intelligence and machine learning.
Harmony Hub: Adaptive Music Exercise Generator
GSOC 2025 project developing an AI-powered platform for generating personalized music exercises.
Check Live Site
Bank-Statement-Analysis-Phase-2
Mifos Summer of Code 2025 project integrating ML and NLP for bank statement analysis, real-time insights, and adaptive budgeting strategies with interactive dashboards.
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AI-Based Stock Strategy System
Comprehensive stock analysis platform combining technical indicators, sentiment analysis, and deep learning models for predictive trading strategies and portfolio optimization.
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CBCT 3D Visualization Software
Advanced visualization tool for Cone Beam Computed Tomography (CBCT) dental scans with 3D mesh rendering capabilities.
Read Source
Plant Disease Detection
Collaborated on a PhD thesis and publication with Associate Professor Vijay Lakshmi to identify plant diseases from leaf images using computer vision.
Read Source
AI in Friction Stir Welding
Utilized an Artificial Neural Network (ANN) model to predict laboratory test outcomes with an accuracy of 88% for friction stir welding applications.
Read Source
Hedging of Financial Derivatives
Open Source project with 200+ implementations based on machine learning and deep learning in financial analytics, stock prediction, and real estate prediction.
Read Source
Transformer-Based Text Summarization
Research project at DRDO-CAIR focusing on abstractive text summarization of news articles using transformer architectures.
Read Source
High-Frequency Amplifier Optimization
Research project at DRDO-MTRDC focused on the development and enhancement of high-frequency amplifiers by integrating Deep Learning techniques for performance optimization.
Read Source
Bone Loss Detection on X-Ray Teeth
Research project with Krishnadevaraya College of Dental Sciences & Hospital to detect bone loss in dental X-rays using deep learning algorithms.
Read Source
Combinational Health Model
Multi-disease prediction model developed under the guidance of Dr. Soumya Pati that combines multiple biomarkers for comprehensive health assessment.
Read Source
GIS-Based Urban Traffic Simulation
Simulated urban traffic congestion using the Mesa agent-based modeling framework and OSMnx for road network extraction, modeling real-world Bangalore traffic scenarios.
Read Source
Certificates & Achievements
Showcasing my technical certifications, research contributions, and hackathon achievements.
DRDO Research Trainee Certificate
Defence Research & Development Organisation (DRDO) - Microwave Tube Research & Development Centre (MTRDC)
Machine Learning Researcher Certificate
Unboxing Community
Transformer-Based Text Summarization for News Articles
DRDO - Centre for AI and Robotics
Girl Script Summer of Code 2024 - Top Performer
Girl Script Foundation
Credential ID: GSSoC2024_OST100C_403EF768
Optimizing FAANG Stock Forecasting
IEEE 5th International Conference on Artificial Intelligence and Data Engineering - NMAM Institute of Technology
Enhancing Fare Prediction Accuracy in Ride Hailing
IEEE 5th International Conference on Artificial Intelligence and Data Engineering - NMAM Institute of Technology
CSEAI24 Conference Participation
2nd International Conference on Computing for Science, Engineering, and Artificial Intelligence - California State University
Finalist of Neural Nexus Hackathon
Unstop
Credential ID: 0d8ac775-3546-466e-911a-787755816f75
Artificial Intelligence in Reshaping Business Landscape
REVA Business School - REVA University
Argonyx'24 Hackathon Participant
RV University
TensorFlow Developer Certificate
TensorFlow User Group (TFUG)
Postman API Fundamentals Student Expert
Postman
Advance Your Skills in Deep Learning and Neural Networks
Learning Relational Databases
Foundations of Cybersecurity
Leveraging Cloud-Based Machine Learning on Azure
AI Workshop: Build a Neural Network with PyTorch Lightning
Problem Solving (Intermediate)
HackerRank
AI Workshop: Hands-on with GANs Using Dense Neural Network
AI Workshop: Hands-on with GANs with Deep Convolutional Networks
Artificial Intelligence Foundations: Neural Networks
Deep Learning: Getting Started
Deep Learning Model Optimization and Tuning
Introduction to Generative Adversarial Networks (GANs)
Learning AI with GitHub Copilot
Recurrent Neural Networks
Training Neural Networks in Python
25k Wins the Honeywell (HackWell) Hackathon
JSS Academy
Credential ID: Team Bramhastra
1st Prize at Hackons Hackathon
Jain University
Credential ID: 1st Prize (₹10,000)
Smart India Hackathon Participation
Smart India Hackathon
National Seminar on 57th Engineers Day
Institute of Engineers (India)
Appreciation Letters for Dental Projects
Department of MCA
Credential ID: Two Appreciation Letters
Appreciation Letter for ANN Projects
Department of MCA
Credential ID: Journal Publication Pending
CNN Bone Loss Detection Project Appreciation
Krishnadevaraya College of Dental Sciences
Credential ID: Presented at International Digital Dentistry Congress
Let's Connect
Have a project in mind or want to discuss collaboration opportunities? I'm just a message away.
Location
Bangalore, India