Aditya Mer
ML/DL Engineer & Gen AI Developer
Professional Summary
I am an ML/DL Engineer and Gen AI Developer passionate about building intelligent systems that solve real-world problems. With a strong foundation in AI research and full-stack development, I bridge the gap between cutting-edge research and production-ready applications.
Work Experience
Web Developer Intern
IASCC
June 2025 – Sept 2025
Hydrid
- Designed and developed IASCC's main website from scratch
- Built custom CMS for blogs, newsletters, and research publications
- Focused on performance optimization and UI/UX improvements
Research Intern
Society for Data Science
May 2023 – May 2025
Mumbai, India
- Researched misinformation spread using advanced ML techniques
- Analyzed 21,000+ news articles for fake news patterns
- Developed ColBERT and SVM models for detection
- Contributed to IEEE conference paper publication
Software Development Intern
YANISA EXECUTION Pvt Ltd
Sep 2023 – Dec 2023
Mumbai, India
- Built scalable web applications
- Developed no-code CRM for client management
- Collaborated on feature delivery and performance optimization
Data Science & ML Intern
YBI Foundation
July 2023
Remote
- Developed ML models using Python, TensorFlow, and PyTorch
- Implemented data preprocessing pipelines for large datasets
- Applied regression and classification techniques
Azure, Java, and Web Development Intern
Claidroid Technologies Pvt Ltd
Dec 2022 – Jan 2023
Mumbai, India
- Gained experience with Azure cloud services and Java
- Built library management app using Azure App Services
- Applied enterprise-grade software engineering principles
Education
B.Tech in Artificial Intelligence & Data Science
K. J. Somaiya Institute of Technology, Mumbai
2021–2025
HSC (Higher Secondary Certificate)
Jai Hind College, Mumbai
2019–2021
SSC (Secondary School Certificate)
Chandaramji High School
2009–2019
Technical Skills
Languages
Machine Learning
Generative AI
Web Development
Cloud & DevOps
Data & Tools
Research & Publications
Towards Mitigating Misinformation: A Structured Dataset of Fact-Checked Claims from News Media
IEEE Region 10 Symposium (TENSYMP), 2024 (2024)
Presents a structured dataset of fact-checked claims from news media to support misinformation detection research.
Selected Projects
Streamlit app functioning as an ATS resume scanner, leveraging Google's Gemini AI to evaluate resumes against job descriptions.
AI-powered Python module for documentation generation with intelligent code analysis and automated documentation creation.
Modern email marketing platform built with Next.js and TypeScript, integrating Gmail API to send personalized bulk emails with Gmail-like formatting and high deliverability.
AI static website generator for quickly creating mini apps/sites from prompts and templates.
Modern news verification platform built with React, TypeScript, LangSearch and Gemini AI to detect misinformation across text, images, audio, and video.