Production AI systems, ML pipelines, agentic workflows, and full-stack builds — each with a full architectural case study.
AI Agent Orchestration
Production-grade AI SaaS platform automating LinkedIn workflows using LangChain and real-time Socket streaming.
✦LangSmith Tracing, real-time sync
Case StudyFull Stack ML Application
End-to-end AI-driven platform for interview preparation using deterministic LLM evaluation matrices.
✦500+ Reports Generated
Case StudyAI Conversational Agent
A powerful Retrieval-Augmented Generation chatbot managing domain-specific university admission protocols.
✦Reduced query wait time by 90%
Case StudyDeep Learning Research
Deep learning model utilizing MobileNetV3 for identifying 4 retinal conditions from OCT scans with 96% accuracy.
✦96.4% Accuracy, Mixed Precision
Case StudyMLOps / Data Engineering
Robust predictive analytics pipeline tracking historical cricket data, automated with MLflow experiment tracking.
✦Automated Retraining, 72% Accuracy
Case StudyWeb Application
A sophisticated frontend web platform capable of auditing and evaluating global brand consistencies.
✦High Performance UI
Case StudyWeb Application
A massive, responsive operating system interface for visualizing complex enterprise data points.
✦Interactive Visualizations
Case StudyWeb Application
A full-scale educational portal managing student analytics, administrative duties, and class scheduling.
✦Global Edge Network
Case StudyWeb Application
A robust responsive web portal aggregating internship opportunities and applicant tracking.
✦Responsive Architecture
Case StudyI'm always looking for interesting ML engineering, agentic AI, or RAG system challenges. Let's build something production-grade.
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