Engineering Smart Spaces &
Intelligent Data Pipelines
Nikhilkrishnan Hari Krishnan (NK) — Software Developer, IoT Architect & Data Analytics Specialist. Bridging physical telemetry, automated cloud infrastructure, and enterprise logistics backends.
99.5% Precision
Driving telemetry stream validation and inventory processing tracking through automated analytics frameworks.
3D WebGL
Migrating legacy tabular structural logs into interactive, real-time spatial mapping diagnostics layers.
AI RLHF
Advanced validation alignment, prompt evaluations, and structural pipeline linguistic quality assurance.
Logistics Cloud
Combining Google Cloud, IBM AI, and Alison Warehouse Management credentials to build secure infrastructure.
Technical Arsenal
Languages & Web
Python (Pandas, NumPy, Spatial Libraries), SQL (PostgreSQL, MySQL), JavaScript, HTML5/CSS3 (WebGL Core).
Cloud & AI
Google Cloud Platform (GCP), Cloud Run, Serverless Functions, Vertex AI, IBM Watson, GitHub CI/CD.
Telemetry Forensics
GPS Spoofing Detection, NMEA Data Parsing, Signal-to-Noise Ratio Diagnostics, Real-Time Anomaly Alert Systems.
Operations & WMS
Enterprise Warehouse Management Systems (WMS), ERP Integrations, Supply Chain Telemetry, Stock Auditing.
GeoSense: Advanced 3D Geospatial Forensic Engine
1. Backend Telemetry Engine
- Event-Driven Ingestion: Python execution pipeline intercepting raw payloads via secure endpoints.
- NLP Semantic Isolation: Real-time keyword parsing using an IBM Watson NLU gateway.
- Ultra-Low Latency Alerting: Sub-30ms packet broadcasting straight to an eSIM wrist node via Telegram Bot APIs.
2. Analytical Frontend Dashboard
- Geospatial Intelligence: Interactive mapping layer isolating spatial anomalies across transportation corridors.
- Velocity Anomaly Flags: Dynamic rule-based sorting to map coordinate-hopping logic.
- Operational Filters: Built-in parameters tracking threat timelines for fleet coordinator audits.
Professional Experience
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