Lead Azure AI Engineer
Ashutosh Singh
Building enterprise AI systems using Azure OpenAI, RAG, .NET, React and Python.
Azure AI Engineer and Team Lead with 15+ years designing enterprise-scale AI platforms, RAG architectures, document intelligence systems, and distributed cloud applications.
15+
years building cloud platforms
70K+
documents processed monthly
5K+
users reached through enterprise apps
20
engineers led across delivery teams
Career Timeline
Production AI leadership across cloud, applications, and enterprise workflows.
Projects
Case studies built around real enterprise problems.
2025 - Present
Agent Assist - Document Intelligence Platform
High-volume enterprise documents required multilingual OCR, classification, extraction, validation, and summarization without overwhelming human agents.
Solution
Designed a multi-agent Azure AI Foundry system that routes documents through specialized AI workers and validation checkpoints.
Architecture
Document ingress, OCR, language detection, classifier, extraction agents, human review queues, and analytics feedback loops.
Challenges
- Latency control across multi-step pipelines
- Cost-aware OCR and LLM usage
- Reliable validation for imperfect documents
Lessons Learned
- Treat evaluation as product infrastructure
- Use routing and confidence thresholds before invoking expensive models
- Design agent workflows around clear validation contracts
2024 - Present
Crystal RAG + Copilot Platform
Knowledge workers needed grounded answers across Teams, CRM, and Office apps with enterprise controls and low-latency retrieval.
Solution
Built an Azure RAG platform with hybrid search, chunking strategies, API optimization, and retrieval tuning.
Architecture
Content ingestion, enrichment, Azure AI Search, re-ranking, prompt orchestration, secure API tier, and Teams/Office frontends.
Challenges
- Permission-aware retrieval
- Prompt drift
- Grounded citation quality
- Feedback visibility across multiple data sources
Lessons Learned
- Retrieval quality beats prompt cleverness
- Caching should be scoped by identity and freshness requirements
- Analytics need to be part of the copilot product loop
Applied Materials
EPG Taiwan Plant Enablement
A new Taiwan plant needed process-specific functionality, data migration, and regulatory reporting support without disrupting existing plant integrations.
Solution
Led backend and data workstreams to extend .NET APIs, SQL Server schemas, and migration flows for Taiwan-specific process rules.
Architecture
.NET 6 API extensions, SQL Server schema changes, data validation workflows, migration support, and stakeholder sign-off loops.
Challenges
- Plant-specific rule differences
- Data integrity before go-live
- Maintaining compatibility with existing integrations
Lessons Learned
- Process engineers should validate workflows early
- Schema extensions need explicit consistency standards
Applied Materials
Almanac Process Engineering Analytics
Process engineers needed a single view of operational data across multiple platforms to analyze trends, compare results, and generate charts and reports.
Solution
Built and supported an analytics application integrating platform data into Angular, D3.js, and .NET Web API experiences.
Architecture
Angular application, .NET 6 API, SQL Server and MongoDB-backed data views, D3.js visualization layer, and client validation workflows.
Challenges
- Combining data from different systems
- Interactive chart performance
- Client-facing support and validation
Lessons Learned
- Analytics tools need fast feedback from domain users
- Visualization work benefits from clean API boundaries
Enterprise platform rebuild
Unified Action Tracker
Large teams were using fragmented ADO workflows that slowed visibility, ownership, and reporting.
Solution
Led a greenfield React and .NET multi-tenant platform replacing the workflow with a dedicated user experience.
Architecture
React application, .NET API, optimized data model, migration tooling, Redis-backed low-latency paths, and dashboards.
Challenges
- Migrating 10K+ records with zero data loss
- Global reliability expectations
- Multi-tenant data boundaries
Lessons Learned
- Migration observability is as important as the migration script
- Workflow products need strong defaults and escape hatches
Microsoft contract
Microsoft 365 Admin Center Feedback Platform
Product teams needed reliable, non-intrusive feedback capture inside a globally used admin experience for enterprise IT administrators.
Solution
Developed feedback elicitation components and R&D prototypes for new feedback modalities in the M365 Admin Center.
Architecture
React and .NET feedback components, SQL-backed feedback flows, Azure deployment pipelines, and product analytics handoff.
Challenges
- Global product reliability
- Non-intrusive feedback UX
- Turning submissions into actionable product signals
Lessons Learned
- Feedback capture should respect user context
- R&D spikes are useful when product behavior is still forming
Microsoft contract
Tenant Touchpoints
Sales teams needed a dependable way to track tenants, Microsoft service usage, tasks, comments, and service adoption views.
Solution
Designed and delivered React and .NET features across dashboards, task management, production support, and Teams integration feasibility.
Architecture
React and Redux frontend, .NET service layer, SQL Server data model, Azure hosting, and Teams notification exploration.
Challenges
- Daily sales workflow reliability
- Stakeholder triage
- Feature roadmap feasibility
Lessons Learned
- Internal tools need product-level support habits
- Technical feasibility work can shape roadmap decisions
Cloud architecture case study
Multi-Region Order Processing Platform
A customer-facing order system needed resilient, real-time order status across regions.
Solution
Architected a multi-region AWS application with load-balanced ECS services and centralized managed RDS.
Architecture
Web app, API Gateway, ECS services, IAM controls, RDS MySQL, S3 assets, CloudWatch observability, and regional routing.
Challenges
- Cross-region consistency
- Access control design
- Operational visibility
Lessons Learned
- Use managed primitives where they simplify recovery
- Model order state transitions explicitly
CitiusTech
Provider Link Healthcare Platform
Home care and hospice providers needed dependable workflows for billing, revenue management, OASIS review, and clinical compliance.
Solution
Improved a healthcare full-stack application by fixing functional issues, optimizing performance, and raising code quality in a legacy .NET web stack.
Architecture
.NET MVC application with AngularJS and jQuery client workflows, SQL Server persistence, revenue and compliance modules, and shared quality tooling.
Challenges
- Legacy code maintainability
- Performance bottlenecks
- Clinical and billing workflow complexity
Lessons Learned
- Healthcare apps need careful regression control
- Code quality work compounds when paired with production bug fixes
Rolta India
Department of Industries Digital Portal
Small-scale industry processes for Maharashtra Government needed to move from manual submissions to an online registration and certification workflow.
Solution
Designed and built front-end workflows for a public-sector portal where users could register, upload information, and request operating certificates digitally.
Architecture
.NET MVC portal with jQuery and KnockoutJS views, SQL Server workflows, SharePoint integration, document upload paths, and approval-oriented screens.
Challenges
- Digitizing government workflows
- Document-heavy user journeys
- Coordinating across a large delivery team
Lessons Learned
- Public-sector portals need simple task flows
- Upload and certification steps need clear state models
Kotak Mahindra Mutual Fund
Sales Target and Achievements Portal
Sales teams needed a pan-India system to upload targets and achievements, review performance, and capture manager comments.
Solution
Designed and built a custom .NET MVC portal, handled deployment, fixed production issues, and worked directly with customers to refine requirements.
Architecture
.NET MVC application with LINQ data access, jQuery interactions, SQL Server storage, target upload workflows, manager review, and reporting views.
Challenges
- Requirement discovery with business users
- Upload validation
- Manager review and comment workflows
Lessons Learned
- Operational reporting apps live or die by data validation
- Customer-facing requirement work improves delivery speed
Angel Broking
Angel Eye Trading Portal
A public single-page trading and portfolio management app needed functional fixes, change requests, and performance optimization.
Solution
Delivered fixes and enhancements across a .NET MVC and JavaScript application while improving responsiveness for customer-facing trading workflows.
Architecture
.NET MVC backend, LINQ-based data access, jQuery front-end interactions, SQL Server persistence, and SPA-style portfolio and trading screens.
Challenges
- Customer-facing reliability
- Performance-sensitive interactions
- Frequent change requests
Lessons Learned
- Trading interfaces demand fast feedback loops
- Small performance fixes matter in heavily used workflows
Paramatrix Technologies
Enterprise Operations Portals
Multiple businesses needed custom internal systems for training, certification, client records, investment reporting, point-of-sale, inventory, and operational reports.
Solution
Built and maintained full-stack .NET MVC applications including Process Tracker, PIE, and Gold POS across finance, certification, CRM-style, and retail operations domains.
Architecture
.NET MVC portals with LINQ, jQuery, SQL Server schemas, reporting screens, process workflows, inventory modules, and deployment support.
Challenges
- Serving different business domains
- Balancing new features with production fixes
- Keeping reporting and transactional data consistent
Lessons Learned
- Domain modeling transfers across line-of-business apps
- Reliable deployments are part of full-stack ownership
Legacy systems project
Distributed File Storage and Sharing
Explore distributed storage, replication, leader election, and work stealing in a clustered file service.
GitHubSolution
Built a Java and Netty-based distributed file sharing system with command queues, work queues, replication, and client messaging.
Architecture
Client connection layer, server state manager, command/work handlers, leader election, data replication, and queue orchestration.
Challenges
- Cluster coordination
- Message routing
- Replication during topology changes
Lessons Learned
- Operational complexity grows at the edges
- Queues need first-class observability
Architecture Gallery
Clickable systems with the tradeoffs exposed.
Interactive System Diagram
Enterprise RAG
Identity Gateway
- Purpose
- Authenticates users and maps claims to content permissions.
- Why chosen
- Enterprise search without ACL trimming leaks data.
- Alternatives
- App roles, Graph connectors
Central policy point
Requires careful cache scoping
Token validation and permission lookups must be cached carefully.
Identity lookups can dominate latency if not batched.
Use Entra ID, Key Vault, managed identities, and per-user audit trails.
Testimonials
Colleagues and leaders on ownership, delivery, and technical judgment.
Ashutosh led a vendor team of 4 people to work on a challenging web project, reporting directly to me. The project was to build a web SDK in React with both front-end and back-end components. His excellent work not only contributed tremendously to the success of the project, but also helped me offload some of my responsibilities. He would be a great asset in any organization.
J.P. Zhang
Principal Software Engineer at Microsoft
Ashutosh is a great co worker to work with. Help other people in the team when they are struck. Takes full ownership of work that he is working. Always thinks future before writing code. Always follows best practices.
Srinivas Naidu Kondisetty
Team Lead at TechMahindra
Ashutosh is an extremely enthusiastic and motivated developer, who is passionate about technology and is always up-to-date with the latest trends. He picks up new technology easily and is very good at training others how to use it. It was always a pleasure to work with him as he is friendly, helpful, charismatic and always wears a smile. I would recommend Ashutosh to anyone and everyone.
Ravindarreddy Umentala
Tech Lead at CitiusTech
Hardworking and sincere. Extremely reliable and most of the critical tasks in the project were executed by Ashutosh. Technically a strong individual and always helping his team. Would like to work with him again in future.
Lalit Singh
AVP at CitiusTech
Ashutosh was highly valued team member while I acted as onsite team lead for couple of assignments for a US client. I found him very hard working and technically sound and a great team player. He is a quick learner and at the same time outperforming with his existing skills. Wish him all the best for his future assignments!
Zahirabbas Rupani
Technical Specialist - CSM
Ashutosh is a focused and committed individual. He ensures that the deadlines are never missed and quality is not compromised. He is an excellent team player, and understands the client business problems quite well.
Prasun Datta
Executive Manager, Rolta
Ashutosh is very dedicated and hard working person with very good technical skills. He has helped other colleagues in office, showing his sincerity and generosity.
Vineet Singh
Tech Lead, CitiusTech
Ashutosh has a very good capability of resolving all critical issues faced by the team of 10 developers. He has always kept work on priority and ensured successful completion with dedication. He is technically very sound and an excellent team player. I wish him good luck.
Shyam Saraf
Tech Lead, L&T Infotech
Technical Knowledge Base
Field notes for AI architecture, retrieval, agents, and performance.
Architecture Notes
System design tradeoffs, integration boundaries, observability, and cloud-native reliability.
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code: "supported"
}Azure AI
Azure OpenAI, Azure AI Foundry, AI Search, Document Intelligence, Functions, Key Vault, and App Services.
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code: "supported"
}LLMs
Model routing, structured outputs, evaluation, token budgets, hallucination reduction, and streaming UX.
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code: "supported"
}Prompt Engineering
Grounded prompts, system boundaries, rubric-based evals, and prompt versioning for enterprise workflows.
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diagrams: true
code: "supported"
}Semantic Search
Hybrid retrieval, semantic ranking, query rewriting, citation scoring, and relevance diagnostics.
type Note = {
diagrams: true
code: "supported"
}Vector Search
Embeddings, vector dimensions, chunking, metadata filters, index lifecycle, and cost controls.
type Note = {
diagrams: true
code: "supported"
}MCP
Tool contracts, safe context sharing, connector design, and agent interoperability.
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diagrams: true
code: "supported"
}Semantic Kernel
Planner patterns, tool orchestration, plugins, memory, and enterprise agent workflows.
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code: "supported"
}Performance
Caching, p95 latency, API optimization, concurrency, model routing, and secure telemetry.
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diagrams: true
code: "supported"
}Skills
A senior toolkit for AI products that need to survive production.
AI
Cloud
Backend
Frontend
DevOps
Databases
Certifications
Microsoft-oriented cloud and AI credentials.
Contact