Engineered Systems
Production-grade infrastructure, data platforms, and distributed systems. Built for scale, reliability, and observability.
Enterprise Analytics & AI Platform Operations
Architected and operated enterprise-scale analytics platforms processing multi-terabyte datasets daily across 100+ global marketing clients, supporting 500+ automated pipelines with 99.5%+ reliability.
Real-Time Healthcare Data Pipelines
Delivered real-time cloud data pipelines supporting production healthcare workflows with 99.8% reliability, processing 50K+ daily clinical events under strict HIPAA compliance requirements.
Fortune 500 Marketing Analytics Platforms
Designed analytics platforms supporting large-scale digital marketing datasets for 10+ Fortune 500 clients, reducing insight turnaround from 3-5 days to 4-6 hours through modernized cloud-native pipelines.
Compliance-Grade Forensic Data Pipelines
Built compliance-grade data pipelines processing 2-5TB sensitive forensic datasets for regulatory investigations, achieving 100% auditability with zero data integrity incidents across 15+ engagements.
Enterprise AI Platform Optimization
Optimized enterprise AI platforms processing 10M+ daily operational events, achieving 99.7% improvement in execution performance (5 hours to 1 minute) and $120K+ annual infrastructure cost avoidance.
Network Bandwidth Prediction Dashboard
Delivered predictive analytics dashboard forecasting bandwidth consumption across 100+ network devices, achieving 25-30% reduction in ISP subscription costs through data-driven capacity planning.
IT Events Prediction Dashboard
Re-engineered IT event prediction system reducing execution time by 99.7% (5 hours to 1 minute) while enabling proactive capacity planning across 8 event categories and 15+ event types.
Automation Candidate Dashboard
Built NLP-powered incident classification system reducing customer onboarding from 4-6 weeks to 3-5 days (90% reduction) and accelerating automation project pipeline by 300%.
Lead Instructor - Enterprise Data Science Training
Served as Lead Instructor for Walmart's Data Science Bootcamp and Data Science for All (DS4A) programs, training 200+ professionals in advanced data science, ML, and deep learning methodologies.
Adjunct Professor - Graduate Business Analytics
Delivered graduate-level courses in statistical analysis, data visualization, dashboard creation, and real-time API development using Python, enhancing industry readiness for 150+ graduate students.
Google Developer Groups - Chapter Lead
Organized numerous community events, workshops, and DevFests focused on cloud, AI/ML, and modern software engineering, mentoring many local developers on cloud-native architecture and scalable systems.
Vriksh Consulting Services - Founder & Director
Founded consulting firm delivering end-to-end DevOps, Data Engineering, and AI solutions for multiple clients, generating significant revenue while providing cloud-certified training programs upskilling many professionals.
Require Architectural Leadership?
I engage with teams building complex data and AI systems. From architectural review to full implementation.
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