SQL SERVER 405+ ANSWERS DEVELOPERS REACHED 795K+ C# CORNER MVP SO REPUTATION 5,685 SO BADGES 77 YEARS HANDS-ON 8+ AGENTIC AI JOHNS HOPKINS AI4ICPS IIT KHARAGPUR

Senior .NET Engineer, AI-Augmented

Senior .NET engineer —
eight years hands-on.C#, SQL Server, Azure.RAG. Agentic AI. Live.still reviewing the PRs.

Senior .NET engineer with 8+ years hands-on in C#, SQL Server and Azure — now also leading delivery, but I still read the stack before I read the status report. Both sides are real; this page is the engineering half.

Stack C# .NET Core SQL Server Azure Angular

8+

Years Hands-On .NET

430+

Stack Overflow Answers

795K+

Developers Reached

C# Corner MVP

Selected highlights

RAG & Agentic AI Projects
77 Stack Overflow Badges
Zero Critical Go‑Live Escalations

Current stack

What I actually work in.

What I use hands-on today and what I've worked with.

Current & hands-on

PythonReactRAG PipelinesLangGraphAgentic AIPrompt EngineeringGitHub Copilot

Worked with previously

C#.NET CoreASP.NET MVCJavaScriptAngularSQL ServerMicrosoft AzureAzure DevOpsCI/CD PipelinesGit / TFSJiraPower BI

Experience

Where the depth comes from.

The same twelve-year trajectory as the delivery view, seen from the code side. Engineer → mentor → program leader.

NEXT PHASE · TARGET → VISION

Senior .NET Full Stack Lead → Solution Architect

The trajectory this record points to

Near term: Senior .NET Full Stack Lead / Technical Lead owning architecture decisions, code quality and technical governance across a live account. The 3–5 year vision: Solution Architect — designing the systems, not just building within them, with the delivery-side judgment to know what a design actually costs to ship.

JUN 2021 → JUN 2026 · LEADERSHIP PHASE

Specialist – Software Engineering

LTIMindtree · Mumbai

Owned technical architecture, code quality and release governance across a multi-account portfolio — 95%+ on-time delivery, −20% production risk through rigorous code review. Mentored developers in .NET, SQL Server and Agile engineering practice, improving team delivery productivity by 15%; enforced coding standards and ISO-aligned technical governance across every delivered application.

DEC 2017 → JUN 2021 · ENGINEERING PHASE

Software Developer

Innovsource Services · Mumbai

HR and MIS reporting solutions — +45% reporting performance. Mentored junior developers; contributed to enterprise architecture and IT governance forums (+25% team efficiency).

MAY 2016 → DEC 2017 · ENGINEERING PHASE

Software Engineer

SA-Techno Consulting Services · Pune

Regulatory-compliant applications for B. Braun Medical India — −20% audit preparation time; improved SLA compliance in service delivery.

APR 2014 → MAY 2016 · ENGINEERING PHASE

Software Developer

Intellect Software Solutions · Mumbai

Enterprise .NET applications for real estate, CRM, sales and marketing — the foundation of everything since.

Engineering proof

Three things I've actually built.

Not a skills list — working systems, with the stack and the reasoning behind them.

RAG PipelineRetrieval & Evaluation

DualLens Analytics

A retrieval-augmented generation (RAG) pipeline built with LangGraph — covering retrieval and answer evaluation, not just generation, so answers are checked against source documents rather than trusted on faith.

Stack · LangGraph · RAG · Retrieval Evaluation

View project
Multi-Agent SystemJohns Hopkins Capstone

Autonomous Financial Analyst

Capstone project for the Johns Hopkins & Great Learning Agentic AI Certificate — a multi-agent financial analyst built with LangGraph, ChromaDB and GPT-4o-mini, orchestrating multiple agents rather than a single prompt-response loop.

Stack · LangGraph · ChromaDB · GPT-4o-mini · Multi-Agent Orchestration

View project
Single-File ArchitecturePerformance & SEOLIVE

This portfolio site

The site you're on right now — a single-file HTML/CSS/jQuery build with no framework or build step, JSON-LD structured data for search visibility, and hand-tuned performance work: critical-CSS inlining, AVIF/WebP images, subsetted font loading.

Stack · HTML · CSS · jQuery · Bootstrap 5 · JSON-LD

SQL Server depth

Unscripted, peer-reviewed SQL Server work.

This is what depth looks like when it's public and anyone can call out a wrong answer.

SQL Server depth, in public

795k developers reached, mostly on SQL Server.

View profile

Contributing since 2018 — 430 answers, 5,685 reputation, 92% of it on sql-server. These are the actual problems engineers hit at 2am when a report times out or an execution plan goes sideways — indexing, set-based rewrites, and the everyday failure modes of production SQL Server.

Query design & set-based logic Rewriting row-by-row and cursor-driven logic into set-based T-SQL the optimizer can actually work with.
Joins, grouping & window functions Duplicate rows, wrong aggregates, and the GROUP BY vs OVER() decisions behind them.
Indexing & execution plans Reading plans to find the scan, the spool, or the missing index costing the query its runtime.
T-SQL troubleshooting Stored procedures, CTEs, dynamic SQL, date and NULL handling — the everyday failure modes.
795k Developers reached
430 Answers contributed
5,685 Reputation earned
7+ yrs Answering since 2018
View full contribution breakdown

Top answer tags

sql-server 405 answers — 92% of my activity

Badges earned

8 Gold 24 Silver 45 Bronze

Includes Marshal, Steward ×3, Copy Editor, Refiner and Deputy — earned for moderation and review quality, not just answers.

Why it matters for this role: this is unscripted, peer-reviewed SQL Server work — the same depth I'd bring to code review, schema design and performance triage on a team.

Engineering leadership

What the delivery years add, not what they cost.

Four concrete things I bring as a lead specifically because I've also run delivery — kept tight, not a slide of platitudes.

Code review culture

Every PR gets read by someone who's shipped the same class of bug — not rubber-stamped for velocity.

Mentoring into module owners

Grown engineers into module owners on live accounts — reducing key-person risk instead of concentrating it in one senior developer.

Estimation grounded in having built it

I estimate from having built the thing, not from a template — that's what protects a sprint commitment and the delivery margin behind it.

Governing AI coding tools with review discipline

Teams using AI coding tools ship faster and worse without review discipline — I govern for the productivity without losing the discipline.

Recognition

Certified, recognized, still learning.

Education

M.Sc. IT — Sikkim Manipal University · 2021
BCA — Magadh University · 2012

Certifications

LTIMindtree Certified Agile Practitioner · 2024CERTIFIED
Generative AI Overview for Project Managers — PMI · 2026COMPLETED
iLead: Transition to Leadership — LTIMindtree · 2022COMPLETED
Become a Project Manager — LinkedIn · 2021COMPLETED
Leadership and Team Development — International Business Management Institute (IBMI) · 2020CERTIFIED
Basic of Project Management — International Business Management Institute (IBMI) · 2020CERTIFIED
Enterprise Design Thinking Practitioner — IBM · 2020CERTIFIED

All certifications are independently verifiable on my LinkedIn profile.

Awards & recognition

2× MVP Award — C# Corner
LTIMindtree Spot Award : Super Crew — 2025
LTIMindtree Spot Award : Super Crew — 2024
LTIMindtree Epic Squad (India & ME) Award — 2024

Contact

Open to senior engineering and technical leadership roles.

Open to Senior .NET Full Stack Lead, Technical Lead and Engineering Manager roles — especially where I can still touch the code.

Reach me directly

Location
Mumbai, India · Open to relocation — India and GCC

Next step

Send a message about a hands-on engineering or technical-lead role, or take the résumé with you. I reply within one business day.

Enter your name.
Enter a valid email address.
Enter a message.

Prefer email? Write directly to surajkumar.navodya@gmail.com.

Prefer LinkedIn? Connect with me there.

  • Open to Senior .NET Full Stack Lead, Technical Lead and Engineering Manager roles.
  • Strong fit for hands-on engineering with code-review and mentoring responsibility, AI-augmented engineering workflows, and SQL Server–heavy systems.