06/24/2026 updated
100 % available
Fractional CTO & Enterprise AI Architect | HiTech | HealthTech | Compliance | Manufacturing | Media
Noida, India
Only remote
B.Tech - Electronics & Communication Engineering, GGSIPU Delhi (2013-2017)AI AgentsApache AirflowData ArchitectureEnterprise Architecture FrameworkPython (Programming Language)AWS CLIApi DesignTerraformAzure Data AnalyticsAirtable
Technical Expertise
- Programming & Engineering: Python, PySpark, TypeScript, JavaScript, Bash, FastAPI, API Design, Microservices, CI/CD, TDD, Docker, Kubernetes, Terraform
- Artificial Intelligence & Machine Learning: RAG, Agentic AI, MCP, LangChain, LangGraph, LLM Orchestration, Prompt Engineering, Hugging Face, NLP, Recommender Systems, Ethical AI
- Cloud Platforms: AWS, Azure, GCP, multi cloud architecture, infrastructure scaling from 10GB to 1.5PB
- Data & Analytics: SQL, MongoDB, Cassandra, Redis, Airflow, dbt, Tableau, Metabase
Services Offered
- Fractional CTO
- AI & Data Strategy Consulting
- SaaS Product Development
- Enterprise Application Development
- Data Platform Architecture
- Career & Leadership Coaching
- Mobile app development
- Workflow automation
- MVP development and launch guidance
Available immediately.
Profile
- Architectural leader with 10+ years of experience and 15+ certifications building enterprise AI systems, cloud platforms, and large scale data infrastructure across Philips, Amazon, Jio, Accenture, and startups. Delivered $1.2M+ in cost savings, led teams of 5 to 23+ engineers, and built systems serving 470M+ users.
- Currently Fractional CTO at RavoTeq, building an AI powered enterprise KYC platform serving 10K+ users globally. Integrated Gemini and Gemma models into production agentic AI workflows and provisioned cloud infrastructure using Terraform.
- Previously Head of Digital Innovation at XIVER MEMS Foundry, where I designed a custom RAG platform using LangChain and Azure OpenAI, reducing analytics turnaround by 56% and automating 70% of manual workflows while maintaining ISO and GDPR compliance.
- As Head of Data Engineering & IT at Philips, I led the transformation from legacy on premises systems to a modern Azure platform, reducing infrastructure overhead by 40%, saving €250K+ annually, and driving 35% operational efficiency gains.
- At Amazon, I delivered enterprise analytics platforms that accelerated time to market by 3x, reduced latency by 70%, improved PySpark performance by 25%, and lowered cloud costs by 30%.
- At Multiplier, I built a centralized marketing attribution platform that increased campaign ROI by 24%, improved data quality by 33%, and boosted user activation by 18%.
- At Jio, I architected a recommendation platform serving 470M+ users, increasing engagement across 30M+ daily active users while improving distributed data processing performance by 23%.
- At Accenture, I modernized 10+ legacy platforms and migrated 110+ enterprise applications across AWS and Azure, reducing infrastructure costs by 35% and migration timelines by 68%.
Experience
Professional experience5 - 10 years
Freelancer since2020
Languages
EnglishNative speaker
Project history
- Serving as founding CTO for an AI-powered enterprise KYC compliance platform serving 10,000+ users globally. Owning full-stack engineering vision, system design, product architecture, and cloud security.
- Bootstrapped a custom Small Language Model for secure, domain-specific document inference tailored to KYC/AML regulatory requirements.
- Integrated local models into production agentic pipelines via Google AI Studio. Provisioned entire cloud runtime via Terraform across dev/staging/production environments.
- Partnered with C-suite to define and execute data and AI strategy across a semiconductor manufacturing operation; managed a team of 7, influenced 23+ stakeholders.
- Designed a custom RAG architecture (LangChain + Azure OpenAI) bridging siloed enterprise data with an LLM-powered Text-to-BI engine, cutting analytics turnaround by 56% and automating 70% of manual workflows.
- Embedded GDPR/DSGVO compliance and ISO-aligned data stewardship natively into the GenAI framework. Mentored engineering teams in prompt engineering and model evaluation.
- Architected and delivered a full-stack Azure data platform replacing legacy on-prem systems, achieving EUR 250K+ annual savings, 40% infrastructure overhead reduction, and 60% faster system integration.
- Automated cloud provisioning via Terraform and led a team of 6 direct reports. Deployed an in-house predictive maintenance and capacity planning platform integrating manufacturing telemetry.
- Engineered Monte Carlo simulation frameworks translating complex manufacturing models into 35% operational efficiency gains.