Hello there! I'm Tanish

I'm an AI Developer that loves building products and solutions that can impact a solution to the community.

I'm a Junior AI Engineer with 2 years of experience building scalable AI and ML based solutions for all kinds of organisations and needs

Explore My Research

Industrial Research

Demystifying Defects: Federated Learning and Explainable AI for Semiconductor Fault Detection

Lead Author

A novel semiconductor fault detection framework that combines Federated Learning and Explainable AI to enable high-accuracy, privacy-preserving, and interpretable defect classification across decentralized datasets

Federated LearningExplaianable AIFault DetectionEdge Intelligence

Undergraduate Thesis

Impact of Digital Transformation on Mental Health of IT Professionals

Principal Investigator

An explainable machine learning framework that predicts technostress and burnout in IT professionals using hybrid survey-synthetic data and SHAP-based insights to support proactive mental health interventions.

Explainable AIStress DetectionDigital TransformationMental Health

Smart Grid and Electric Vehicles

Data-Driven SoC Forecasting in Electric Vehicles: A Federated Learning Perspective

Co-Author

A data-driven State of Charge forecasting framework for Electric Vehicles that leverages Federated Learning and ensemble machine learning to deliver privacy-preserving, accurate, and scalable battery state estimation across decentralized sources

Federated LearningElectric Vehicles (EVs)State of Charge EstimationPrivacy-Preserving ML

Cybersecurity and Smart Infrastructure

Enhancing Cybersecurity in Internet of Vehicles: A Machine Learning Approach with Explainable AI for Real-Time Threat Detection

Lead Author

A machine learning and Explainable AI-based cybersecurity framework for the Internet of Vehicles that enables real-time, interpretable, and high-accuracy threat detection while ensuring model transparency and operational reliability in connected vehicular networks.

CybersecurityInternet of VehiclesMachine LearningPrivacy-Preserving ML

What I've been working on

StressTester: AI-Assisted Financial Stress Testing Engine

An end-to-end Next.js application that combines deterministic financial simulations with a 4-stage AI pipeline to extract assumptions, generate stress scenarios, compute KPI deltas, and produce mitigation playbooks for enterprise finance teams.

Agentic NLP-to-SQL: Secure Multi-Agent Analytics Copilot

A security-first, multi-agent natural language to SQL system with clarification, schema grounding, accounting-aware query generation, and safe execution across SQL backends

Statistical Arbitrage: Factor-Based Mean Reversion Trading System

A multi-factor statistical arbitrage framework using PCA-based factor models, residual mean reversion, and systematic trade analytics

FX-Cross: Machine Learning–Driven Trading Signal Generation

Probabilistic FX trading strategies using time series smoothing, machine learning, and deep learning models

Paperchase AI — End-to-End Financial Intelligence Platform

A comprehensive financial intelligence platform

Predictive Maintenance in SCANIA Trucks

Mitigating failures by using Federated Learning and Explainable AI

Advanced Time Series Forecasting

Time Series Forecasting with Exogenous Variables for Restarurants Globally

Margshala

AI Career Assistant for Rural people

Demystifying Defects

Federated Learning and Explainable AI for Semiconductor Fault Detection

Prognosis Assistant and Appointment Scheduler

A comprehensive web application to assist in pre-doctor visit health analyses and streamline in-app appointment scheduling.

Posture Correction using Computer Vision

DL and ML Approaches for Real Time Posture Detection and Correction

FL for State of Charge Prediction

Data-Driven SoC Forecasting in Electric Vehicles: A Federated Learning Perspective

Tech Stack