The USB-C for AI: a complete guide to the Model Context Protocol
Understand MCP through a restaurant analogy, then build, connect and deploy your own server from scratch.
FIG. 01 · JOB-STATUS STREAM
KARTHIKDILEEP
- experience2 yrssince Jun 2024
- companies2Devmani · S2 Data
- systems shipped4infra · fintech · AI
- current focusAgentic AILangChain · Agno · MCP
background · education · how I work
01
About
I'm a Full Stack Engineer with two years of experience building scalable applications using Python, FastAPI, JavaScript, React, PostgreSQL, AWS and GCP.
My work spans microservices, distributed systems and API development — and lately, designing agentic-AI applications with LangChain, Agno, MCP servers and multi-agent orchestration workflows.
I care about systems that stay reliable, performant and observable under load: asynchronous backends, automated data pipelines, infrastructure-as-code, and interfaces that are a pleasure to use.
I hold a B.Tech in Computer Science Engineering from MIT ADT University, Pune (2020–2024).
grouped by layer · languages to infrastructure
02
Skills & Stack
01 Languages
03 · core
02 Backend
06 · services
03 Frontend
05 · interfaces
04 Data & Storage
03 · persistence
05 Cloud & Infra
06 · platform
06 AI & Agents
05 · intelligence
07 Automation
03 · tooling
08 Practices
04 · methods
jun 2024 — present · two companies · one engagement
03
Experience
Full Stack Engineer
Devmani Traders Pvt. Ltd.
- Engineered agentic-AI systems using LangChain, Agno, MCP servers and multi-agent architectures to build intelligent, context-aware applications and integrations.
- Integrated BSE SOAP & REST APIs to enable seamless end-to-end transaction workflows within a modern microservices architecture.
- Delivered scalable full-stack applications — backend microservices, automated data pipelines and responsive interfaces — ensuring reliability, performance and cloud scalability across distributed systems.
Associate Software Engineer
S2 Data Systems Pvt. Ltd.
- Built scalable, asynchronous backend systems with secure authentication and background processing for long-running, high-throughput workflows.
- Developed modular, responsive UIs — improving usability, state management and overall application maintainability.
- Designed extensible system architectures and integrated real-time data pipelines, automating infrastructure for scalable, reliable deployments.
Data Engineering — EXL Services
Legacy data-warehouse modernization
- Modernized a legacy data warehouse with scalable Python ETL pipelines on AWS Redshift, enabling unified, efficient analytics.
- Improved reliability and data integrity by orchestrating quality checks with Apache Airflowand adding monitoring/alerts via CloudWatch & SNS.
type a question · answers are pre-written
04
Ask about my work
Answers appear here. Everything runs in your browser — nothing is sent anywhere.
engineering notes · full pieces on medium
Building PseudoChat: an AI-powered Slack chatbot with webhooks, FastAPI and Together AI
Wiring Slack events to an LLM through a verified webhook endpoint — and designing around Slack's three-second deadline.
Managing infrastructure with Pulumi and S3: a journey into code-driven IaC
Why self-managing Pulumi state in a versioned S3 bucket beats the default backends when control and compliance matter.
Exploring Confluent Kafka: a developer's experience in real-time data processing
Tracking job-run status across distributed systems by treating Kafka topics as tables instead of reaching for a database.
My first dive into JWT authentication with FastAPI
What implementing token auth for the first time taught me — about JWT, and about learning unfamiliar things properly.
email · github · linkedin · medium
06
Contact
Let's build
something reliable.
Open to full-stack and AI-engineering roles. Have a project, a question, or just want to talk systems? Reach out.
Download résumé