Akash Engineering the Future of Data Platforms & Generative AI
I bridge the gap between raw, complex data streams and strategic decision-making. Architecting real-time systems at the 10B+ scale and building natural language interfaces to abstract away cloud complexity.
The Engineering Philosophy
I am a Data & Analytics Engineer at Amazon with over 4 years of experience building large-scale data platforms, ML/NLP pipelines, and Generative AI products. My focus is on making complex data simple, fast, and actionable for leadership and operations.
Currently, at Amazon UK, I build real-time anomaly detection systems using statistical modeling and ML (Local Outlier Factor) to automate proactive incident response at a massive scale. Simultaneously, I develop generative AI applications that enable teams to interact with internal data through natural language.
Technical Stack
Artificial Intelligence & ML
Data Infrastructure & Cloud
Programming Languages
Visualization & BI Tooling
The AI & Data Playground
Simulate Live Data Operations
Experience how I design systems that interact with massive scale data and abstract cloud complexities using AI. Select a prompt below to see the simulated system operation, code generation, and visualization in real time.
Professional Timeline
Business Intelligence Engineer II
- Scale & ML: Engineering a real-time anomaly detection system processing 10B+ events using Machine Learning (LOF) and statistical modeling to automate proactive incident response.
- Productivity: Shipped a suite of self-service APIs and tools that abstract AWS complexity, eliminating engineering bottlenecks for non-technical stakeholders.
- Innovation: Building internal Gen AI applications to enable natural language data interaction, transitioning data access from manual requests to intuitive self-service.
Business Intelligence Engineer II
- Revenue Growth: Architected an NLP-driven discovery engine to semantically map external trends to products, recovering lost GMS by surfacing cold-start and "invisible" inventory.
- Strategy: Synthesized complex multi-system data streams into robust KPI frameworks and data products adopted by leadership for strategic decision-making.
- Engineering Rigor: Institutionalized CI/CD gatekeeping for all production data jobs, ensuring high-integrity deployments and eliminating unreviewed code in production.
Business Intelligence Engineer I
- Data Ownership: Designed and owned end-to-end production datasets, managing schema design, modeling, ingestion, and automated quality monitoring.
- Optimization: Resolved critical query bottlenecks and optimized data pipelines to power high-visibility, leadership-facing QuickSight dashboards.
- Efficiency: Implemented automation frameworks that significantly reduced manual errors and recurring operational overhead.
Business Technology Solutions Associate
- Served as a Salesforce Developer, designing and implementing core technical features leveraging Apex, Java, HTML, and JS.
- Learned and integrated Salesforce Consumer Goods Cloud and Salesforce Maps into custom client CRM systems.
Product Analyst Intern
- Analyzed transaction data streams to detect payment funnel drop-offs and optimize checkout conversions.
LinkedIn Insights
Education & Certifications
Thapar Institute of Engineering & Technology
Key Coursework:
Woodbine Modern School
QuickSight for Developers
Issued by Amazon Web Services (AWS)
Amazon Business Intelligence Developer
Internal AWS Certification
Prime Minister Scholarship
Awarded for outstanding academic achievement in engineering studies.
Languages
English (Full Professional) • Hindi & Maithili (Native/Bilingual)
Get In Touch
I am open to discussions about big data architectures, cloud optimizations, Generative AI pipelines, or telemetry anomaly systems. Feel free to reach out via LinkedIn or email!
Location
London, England, UK