Projects
An engineering ledger mapping data pipelines, algorithmic layers, and metric validations.
Semantic Segmentation of CFRP Microstructures
Ingested Data Pipeline
High-resolution material micrographs of Carbon Fiber Reinforced Polymers (CFRP).
Algorithmic Engineering
Developed a high-precision semantic segmentation system utilizing specialized U-Net neural network architectures to automate macro-fiber and micro-crack analysis layers.
Systemic Validation
Accelerated material science defect evaluation workflows by replacing manual microstructure annotation bottlenecks with deep learning inference.
Predictive Modeling for Neurodegenerative Progression
Ingested Data Pipeline
Multi-dimensional, non-invasive biomedical vocal frequency metrics and acoustic signals.
Algorithmic Engineering
Engineered an advanced diagnostic data pipeline using ensemble machine learning models (XGBoost, Random Forest regressors) optimized for tracking neurodegenerative severity.
Systemic Validation
Successfully isolated high-variance vocal diagnostic acoustic signatures to map out Parkinson's disease progression trends with minimal tracking error.
Multi-Lingual RAG Chatbot Architecture
Ingested Data Pipeline
Large-scale, unstructured, multi-lingual municipal enterprise documentation and transit guidelines.
Algorithmic Engineering
Architected production-ready Retrieval-Augmented Generation (RAG) loops and fine-tuned open-weight Large Language Models (LLMs) to output context-aware, deterministic responses.
Systemic Validation
Aggregated real-time systemic API logging architectures to execute deep-dive verification of model performance thresholds and automated system anomaly detection.
AI/ML Decision-Support Infrastructure
Ingested Data Pipeline
Real-time telemetry feeds, operational track environments, and locomotive sensory data streams.
Algorithmic Engineering
Engineered high-reliability backend algorithmic layers supporting intelligent decision-support mechanisms to elevate runtime safety margins for locomotive personnel within the "Kavach" framework.
Systemic Validation
Implemented robust Java and Spring Boot backend microservices explicitly configured to handle low-latency decision evaluation natively in highly concurrent environments.
MEDIN - Real-Time Body Vitals Tracking Platform
Ingested Data Pipeline
Continuous biometric sensory streams capturing SpO2 saturation profiles, BPM metrics, and locomotion data.
Algorithmic Engineering
Designed an advanced multi-modal sensor fusion metrology pipeline configured to parse diagnostic health signatures from time-series datasets.
Systemic Validation
Protected via dual Indian Government Patent applications: "Miscarriage Prediction System and Method" and "A Complete Metrology of Body Vitals".
Intelligent Multi-Modal Document Retrieval System
Ingested Data Pipeline
Unstructured text corpora, nested book matrices, and multi-modal figures embedded within complex PDF documentation.
Algorithmic Engineering
Developed an intelligent end-to-end document parsing and vector embedding ecosystem enabling semantic retrieval matching across unified image and text vector spaces.
Systemic Validation
Enabled context-aware conversational question-answering systems executing across deep text contexts with structural hallucination control.