India · Early days
Where it started
Curiosity for how software actually ships — not just how it demos — pulled me into full-stack work. I learned by building, breaking, and rewriting until the systems held.
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Manifesto
“I build at the intersection of systems and storytelling — shipping production software by day, teaching the craft by night, and documenting what I learn so others can move faster.”
Location
Gurugram, India
Focus
Full stack · GenAI · Cloud
Status
Open to collaborations and interesting problems
I turn ideas into reliable, production-ready software. My work spans backend architecture, GenAI applications, and intuitive frontend experiences, with hands-on ownership of cloud infrastructure and deployment — so what I build doesn't just work, it scales.
Journey
Chapters in the craft
2023 – 2024 · Jalan Technologies
First production reps
As an intern I owned slices of a SaaS product end-to-end: schemas, APIs, UI, and tests. That cycle taught me the difference between a feature and something users can trust.
Next chapter2024 – 2025 · Globallogic-Hitachi
Scale, cloud, and GenAI
I shipped FastAPI services, GenAI and data projects, and took ownership of deployments across AWS, GCP, and Azure — so ideas didn’t stop at the laptop.
Next chapter2025 – Present · Symbal
Voice agents & product velocity
Now I integrate voice AI agents, design Express and webhook layers, and ship Next.js product surfaces that teams actually adopt. Systems that talk, listen, and move work forward.
Next chapterOngoing
Teaching & creating
I write technical deep-dives — AWS, APIs, system design — and share what I learn as a tech educator and content creator. Teaching sharpens the craft; the craft feeds the teaching.
Selected work
Projects that shipped
A selection of builds across GenAI, serverless, and product surfaces — each one a problem, a stack, and a lesson.
022025Product
TheDevtools
Tools for professionals to streamline their workflows and enhance productivity.
- Next.js
- Tailwind
032025GenAI
Multi-Model Chatbot
RAG chatbot that supports multiple document formats for embedding and lets the end user choose among models.
- Python
- FastAPI
- Next.js
- Tailwind
- LangChain
- GCP
042024GenAI
AI Doc Summarizer
Highly capable summarizer designed to handle large text and multiple document formats.
- Python
- Map-Reduce
- RAPTOR
- Streamlit
Stack
Tools I reach for daily
PythonJavaJavaScriptTypeScriptFastAPINode.jsNestJSWeb ScrapingReact.jsNext.jsTailwindShadcn/UIStreamlitGenAIRAGVoice AgentMongoDBSQLPostgreSQLGitJiraGCPAWSAzurePythonJavaJavaScriptTypeScriptFastAPINode.jsNestJSWeb ScrapingReact.jsNext.jsTailwindShadcn/UIStreamlitGenAIRAGVoice AgentMongoDBSQLPostgreSQLGitJiraGCPAWSAzure
Writing
Notes from the workbench
system-design
Networking Essentials
A practical map of how networks actually work: OSI and TCP/IP, the lifecycle of a web request, Layer 3–7 protocols, load balancing, and the failure modes that show up in system design.
system-design
The CAP Theorem Explained: Everything You Need to Know
CAP Theorem applies to distributed database layers: Consistency, Availability, and Partition Tolerance - and why you can guarantee at most two when the network splits.
Contact
Let’s build something people remember
Have a product, a teaching collab, or a hard systems problem? My inbox is open.