Param Pandya
AI Engineer • Machine Learning Engineer
AI Engineer specializing in Machine Learning, RAG applications, AI Agents, and Computer Vision. Published IEEE researcher with experience building ML models and robustness pipelines at Indian Institute of Technology (IIT) Indore and Indian Institute of Technology (IIT) Jammu.
Current Focus
The AI technologies and engineering domains I am actively building and exploring.
RAG & LLM Applications
Building retrieval-augmented generation applications using vector databases and open-source LLMs.
AI Agents & Multi-Agent Systems
Developing autonomous agent workflows using Model Context Protocol (MCP) and multi-agent orchestration.
Computer Vision
Designing deepfake detection pipelines and computer vision models for image and video analysis.
AI Engineering & Deployment
Packaging machine learning models and AI applications using FastAPI, Docker, and structured pipelines.
Featured Projects
All ProjectsCareerAI
An AI-powered career coach that analyzes resumes, provides ATS feedback, generates personalized learning roadmaps, and prepares users for interviews using Google Gemini AI.
TripGenie
An AI-powered travel planner that generates personalized itineraries, recommends destinations, suggests accommodations, and provides intelligent travel assistance.
AI Diet Planner
An AI-powered nutrition assistant that generates personalized meal plans, calorie recommendations, and nutrition insights based on user preferences and goals.
Experience
Full AboutSoftware Development Instructor
•NxtWave Disruptive Technologies Private LimitedMentored learners in Python, Machine Learning, SQL, and Generative AI while building and debugging AI applications.
Research Intern
•Indian Institute of Technology JammuDeveloped TensorFlow-based biometric models, reducing adversarial attack success by 40% using FGSM/PGD benchmarking.
Machine Learning Intern
•Upskillz.inDeveloped a personalized recommender system using Python and Apache Mahout, improving engagement by 16%.
Research Intern
•Indian Institute of Technology IndoreDesigned FGSM and PGD defense pipelines, improving neural model robustness against adversarial attacks by 25–30%.
Research
Research HubEfficient Deepfake Detection using AI
Researched deepfake detection methods for media forensics utilizing XceptionNet and InceptionResNetV2 models. Explored reinforcement learning policies (DQN/PPO) to optimize training data augmentation and enhance cross-dataset generalization.
Technical Writing
Technical Writing – Coming Soon
Open Source
Open Source – Coming Soon
Get in Touch
Interested in working together or discussing AI engineering opportunities? Feel free to reach out via email.