Tisha Madame

As an AI/ML Engineer, I am driven by a profound curiosity and ambition to unravel complex challenges. My logical and determined approach allows me to concentrate on developing innovative, impactful solutions that push the boundaries of technology.

Experience

AI/ML Engineer

Coditation · Mar 2026 – Present

Not yet confirmed

AI-ML Engineer- Plant360.ai

Coditation · Mar 2026 – Present

Not yet confirmed

• Developed an autonomous multi-agent pipeline with closed-loop verification and an LLM-as-a-judge system, while maintaining 96% document extraction precision.
• Benchmarked and evaluated OCR and Vision-Language Models (VLMs) across engineering documents (P&IDs, PFDs, HAZOP, Cause & Effect matrices) to build extraction pipelines.
• Fine-tuned DeepSeek-OCR 2 to fix horizontal and vertical text merging issues in dense P&IDs, making text detection across documents significantly cleaner and more reliable.
• Fine-tuned vision-language and foundation models (DINOv3, RADIOv2.5) for 1-few shot symbol detection and classification on engineering diagrams, hitting 80.6% accuracy.

M

AI-ML Engineer- Deployed at RIKEN-SPring-8

Morabu Hanshin Pvt. Ltd. · Nov 2024 – Feb 2026

Not yet confirmed

• Built and deployed a time-series forecasting system using XGBoost, performing feature engineering (lags, rolling statistics, season-ality) and model evaluation to improve prediction accuracy by 25%.
• Designed and implemented Retrieval-Augmented Generation (RAG) workflows integrating vector databases and LLM inference to enable context-aware knowledge retrieval and automated decision support.
• Built an identity verification service using embedding-based similarity matching with reliability safeguards and audit logging to support enterprise-grade validation workflows.
• Architected end-to-end ML pipelines for data ingestion, feature engineering, model training, and deployment, enabling reproducible workflows and continuous model improvement
• Implemented production monitoring for model drift, performance degradation, and pipeline failures to ensure long-term system stability and scalability.

AI /ML Engineer

MORABU HANSHIN Industry Co.,Ltd. · Jul 2024 – Feb 2026

Not yet confirmed

• Skills: Machine Learning Algorithms · Machine Learning · Data Analysis · Software Development · Artificial Intelligence (AI) · Neural Networks

Machine Learning AlgorithmsMachine LearningData AnalysisSoftware DevelopmentArtificial Intelligence (AI)Neural Networks

Teaching Assistant

Indian Institute of Technology, Delhi · Aug 2022 – Jun 2024

Not yet confirmed

• Skills: Data Structures & Algorithms · Machine Learning

Data Structures & AlgorithmsMachine Learning

Software Engineer

Pratiti Technologies · Aug 2021 – Jun 2022

Not yet confirmed

• Worked on Siemens' industrial IoT platform, handling large volumes of time-series sensor data for monitoring and analytics use cases.
• Built data processing and transformation workflows to clean, aggregate, and analyze high-frequency telemetry streams from dis-tributed industrial equipment.
• Supported real-time analytics and anomaly-trigger pipelines by optimizing filtering logic and event-driven data flows.
• Collaborated with domain experts to improve data reliability, latency, and scalability for downstream analytics.
• Designed modular frontend architecture and optimized API interaction patterns to improve scalability under heavy data loads.

Content Writer

Feeding Trends · Feb 2021 – Apr 2021

Not yet confirmed