Open to senior full-stack & platform roles

Sai Satish SreeramaFull Stack .NET Engineer

I build scalable .NET platforms, cloud-native services, and crisp product experiences—with reliability you can measure.

Focus:C# & ASP.NET Core

View projects Download resume

Scroll to explore architecture, delivery, and impact

System snapshotHealthy

Stack

.NET + React

Cloud

Azure / AWS

Patterns

Microservices

Domains

FinTech / Health

Recent emphasis: performance, observability, and safe AI automation in regulated environments.

About

Engineering with measurable outcomes

I build systems that think and scale—engineering resilient microservices, high-performance APIs, and AI-driven workflows across financial and healthcare domains. Passionate about turning complex problems into reliable, real-world impact.

Years shipping production

Products & platforms delivered

Major systems optimized

Skills

Depth across the full stack

Categorized proficiency with interactive cards and a compact competency radar for quick scanning.

Backend

C# / .NET95%

ASP.NET Core94%

REST APIs92%

Microservices92%

Frontend

React88%

Angular86%

TypeScript90%

UX Performance87%

Cloud & DevOps

Azure93%

AWS86%

Docker / Kubernetes90%

CI/CD (Azure DevOps)92%

Databases

SQL Server92%

PostgreSQL84%

Redis / Caching86%

Event-driven storage80%

AI / Modern Systems

LLM Integration85%

RAG Pipelines83%

OCR Pipelines80%

Observability90%

Competency radar

Experience

Timeline of ownership

Interactive vertical timeline with Raymond James as the current focus and Wipro as the foundation years.

Key achievements
Reduced manual processing by 60% by automating payment and document workflows using RESTful APIs.
Built microservices integrating Azure Service Bus and AWS SQS with retry and idempotency patterns.
Cut document processing time from 2 hours to under 10 minutes using OCR + parallel processing pipelines.
Designed scalable APIs and services deployed via Docker, Kubernetes (AKS), and CI/CD pipelines.
Improved SQL performance and API response times through indexing and query optimization.
Technologies
C#ASP.NET CoreAzureAWSSQL ServerReactDockerKubernetes

Impact

Outcomes with measurement context

Replace rows in impactRows with numbers you can stand behind in interviews.

Role / context	Metric	Before	After	How measured
Raymond James — Full Stack .NET	Manual processing time	High touch, spreadsheet-heavy	~60% reduction in manual steps	Workflow timing samples + ticket volume before/after automation rollout.
Raymond James — APIs & data	Document processing	~2 hours end-to-end	<10 minutes (OCR + parallel pipelines)	P95 job duration from processing queue telemetry.
Wipro — Healthcare microservices	Daily transaction throughput	Baseline cluster load	~12k transactions/day sustained	Service metrics + DB throughput dashboards.
Wipro — Auth reliability	SSO success rate	72%	99%	Azure AD sign-in logs + app error rates.

Certifications

Credentialed across agile, cloud, and delivery

Filter by focus area, scan shared skills across credentials, and expand any card for credential IDs and verification links.

Skills across credentials

Agile×1Agile ceremonies×1APIs×1App Service×1Azure×1Backlog×1CI/CD×1Delivery leadership×1Enterprise context×1Jira×1Product ownership×1Scrum×1

Atlassian

Atlassian Agile Project Management Professional Certificate

Issued Mar 2026Agile & product

End-to-end agile project management with Atlassian tooling—backlogs, boards, and stakeholder-ready reporting.

AgileJiraSprint planningDelivery leadership

Scrum.org

Professional Scrum Product Owner™ I (PSPO I)

Issued Mar 2026Agile & product

Scrum.org credential for product vision, backlog ordering, and maximizing value within empirical process control.

ScrumProduct ownershipBacklogValue delivery

Microsoft

Microsoft Certified: Azure Developer Associate

Issued May 2025Expires May 2026Cloud

Builds, deploys, and secures cloud-native apps on Azure—aligned with how I ship production .NET services.

AzureApp ServiceAPIsSecurityStorageCI/CD

JPMorganChase

Agile Virtual Experience Program

Issued Jul 2023Experience programs

Virtual program applying agile workflows in a global financial services setting—bridging delivery and compliance.

Agile ceremoniesEnterprise contextTechnical storytelling

Engineering philosophy

How I think about shipping

Principles that guide architecture, code review, and production operations—before frameworks and buzzwords.

Reliability over cleverness

Boring, observable systems beat clever hacks. I design for clear failure modes and fast recovery.

Measure before optimizing

Trace, log, and profile with real traffic. Optimization without data is guesswork.

Design for failure

Retries, idempotency, and backpressure are defaults in distributed systems—not stretch goals.

APIs as contracts

Versioning, schemas, and documentation keep teams aligned as services multiply.

Security and compliance by design

Data boundaries and audit trails are modeled early—not bolted on after launch.

System design

How I design scalable systems

Bounded contexts, asynchronous boundaries, and data layers that stay understandable as load grows.

Microservices architecture

Services align to business capabilities; synchronous calls only where UX demands it—everything else goes async or cached.

┌──────────┐   ┌──────────┐   ┌──────────┐
│ Billing  │   │ Claims   │   │ Identity │
│ service  │   │ service  │   │ service  │
└────┬─────┘   └────┬─────┘   └────┬─────┘
     │              │              │
     └──────────────┼──────────────┘
                    │
            ┌───────▼────────┐
            │   API Gateway   │
            │  + rate limits  │
            └───────┬────────┘
                    │
            ┌───────▼────────┐
            │   Clients /    │
            │   BFF layers   │
            └────────────────┘

Event-driven flow

Azure Service Bus for ordered topics and AWS SQS for fan-out and Lambdas—dead-letter queues and retries are first-class.

Producer          Bus / Queue              Consumer
 ┌────────┐      ┌─────────────────┐      ┌────────┐
 │Service │─────▶│ Azure Service   │─────▶│Worker  │
 │   A    │      │ Bus (topics)    │      │group B │
 └────────┘      └────────┬────────┘      └────────┘
                          │
 ┌────────┐      ┌────────▼────────┐      ┌────────┐
 │Service │─────▶│ AWS SQS (+ DLQ) │─────▶│Lambda /│
 │   C    │      │ cross-cloud fan │      │service │
 └────────┘      └─────────────────┘      └────────┘

API design patterns

REST + versioning

Resource-oriented URLs, explicit v1/v2, deprecation headers, and OpenAPI as the contract source of truth.

Idempotent writes

Idempotency-Key on mutating operations; safe retries from mobile and async workers.

Pagination & filtering

Cursor-based lists for large datasets; bounded page sizes and stable sort keys.

Problem+json errors

Consistent error shape with trace IDs for support and observability correlation.

Caching strategy

Redis for hot reads, session, and rate-limit counters with TTL discipline.
Cache-aside vs read-through chosen per consistency needs; stampede protection on cold keys.
CDN at the edge for static assets and cacheable BFF responses.

Database strategy

Index for real query shapes, not hypothetical ones; cover indexes where reads dominate.
Partition large tables; archive cold rows to keep working set lean.
Read replicas for reporting; write path stays on primary with clear lag expectations.

AI & innovation

Production-grade intelligence, not demos

From retrieval pipelines to OCR normalization, I focus on evaluable systems: tracing, guardrails, and cost-aware inference in real workflows.

LLM Integration

Designing production-grade AI workflows with prompt engineering, guardrails, and cost-aware model usage.

RAG Pipelines

Building retrieval systems with embeddings, vector search, and domain-tuned ranking strategies.

OCR Pipelines

Automating document workflows using OCR, preprocessing, and intelligent extraction pipelines.

Learning & voice

What I read, ship, and share

Replace placeholders in data.ts with your real books, links, talks, and OSS highlights.

Reading & stack

Designing Data-Intensive Applications

Martin Kleppmann

Reference for distributed systems trade-offs and data modeling.

Building Microservices (2e)

Sam Newman

Boundaries, deployment, and evolution of service architectures.

Microsoft Learn — Azure architecture

Microsoft

Well-architected patterns I revisit before major design reviews.

Architecture Notes

Various

Short, visual breakdowns of real-world system designs.

Now

2026-04
Deepening RAG evaluation: citation accuracy checks and cost caps per tenant.
2026-03
Sharpening AKS + GitOps patterns for zero-downtime API rollouts.
2026-02
Experimenting with structured logging conventions across .NET + frontends.

Speaking & writing

Internal tech talk — Idempotent message consumers

Team brownbag · 2025 · talk

README templates for microservices

Engineering wiki · 2024 · writing

Open source

Portfolio (this site)

Owner

Next.js 16, R3F backdrop, contact API, SEO + JSON-LD.

Sample contributions

PRs / issues

Replace with repos or PRs you want to highlight publicly.

Engineering lab

Small demos, real patterns

Health check curl for ops-minded visitors; code sample is illustrative—tune the snippet in showcaseSnippet.

API health

GET /api/health — JSON with ok, short git SHA on Vercel, and timestamp.

curl -sS "https://YOUR_DOMAIN/api/health"

After load, the curl uses your current origin automatically.

Idempotent queue consumer (.NET)C#

1// Process message at-least-once without duplicate side effects
2public async Task HandleAsync(ClaimSubmitted msg, CancellationToken ct)
3{
4    var key = $"claim:{msg.IdempotencyKey}";
5    if (!await _store.TryAcquireOnceAsync(key, TimeSpan.FromHours(24), ct))
6        return; // already processed
7
8    await _db.ExecuteInTransactionAsync(async () =>
9    {
10        await _claims.UpsertAsync(msg, ct);
11        await _bus.PublishAsync(new ClaimIndexed(msg.ClaimId), ct);
12    }, ct);
13}

For recruiters

FAQ

Edit answers in recruiterFaq in data.ts.

F1-STEM OPT

Contact

Let's build something reliable

Use the form — it sends via the server when configured, or opens your email app with everything filled in so you can send in one tap.

Direct links

saisatishsreerama@gmail.com

Profile

GitHub

Repositories

Sai Satish SreeramaFull Stack .NET Engineer

Engineering with measurable outcomes

Depth across the full stack

Backend

Frontend

Cloud & DevOps

Databases

AI / Modern Systems

Timeline of ownership

Raymond James

Wipro

Outcomes with measurement context

Credentialed across agile, cloud, and delivery

Atlassian Agile Project Management Professional Certificate

Professional Scrum Product Owner™ I (PSPO I)

Microsoft Certified: Azure Developer Associate

Agile Virtual Experience Program

How I think about shipping

Reliability over cleverness

Measure before optimizing

Design for failure

APIs as contracts

Security and compliance by design

How I design scalable systems

Microservices architecture

Event-driven flow

API design patterns

Caching strategy

Database strategy

Production-grade intelligence, not demos

LLM Integration

RAG Pipelines

OCR Pipelines

What I read, ship, and share

Reading & stack

Now

Speaking & writing

Open source

Small demos, real patterns

API health

FAQ

Let's build something reliable

Direct links

Message

Engineering with measurable outcomes

Depth across the full stack

Backend

Frontend

Cloud & DevOps

Databases

AI / Modern Systems

Timeline of ownership

Raymond James

Wipro

Outcomes with measurement context

Credentialed across agile, cloud, and delivery

Atlassian Agile Project Management Professional Certificate

Professional Scrum Product Owner™ I (PSPO I)

Microsoft Certified: Azure Developer Associate

Agile Virtual Experience Program

How I think about shipping

Reliability over cleverness

Measure before optimizing

Design for failure

APIs as contracts

Security and compliance by design

How I design scalable systems

Microservices architecture

Event-driven flow

API design patterns

Caching strategy

Database strategy

Production-grade intelligence, not demos

LLM Integration

RAG Pipelines

OCR Pipelines

What I read, ship, and share

Reading & stack

Now

Speaking & writing