Available for new roles

Nanjundeshwara
K.

Forward Deployed Engineer · Full-Stack · AI & Cloud

Customer-obsessed engineer building full-stack analytics platforms, AI/LLM workflows, and cloud-native backends. Azure-certified (AZ-204) with production deployments across React, FastAPI, PostgreSQL, and Python.

⚡ GitHub 🔗 LinkedIn ✉ Email me
4Production apps deployed
2Azure certifications
4+Languages spoken
∞Willingness to travel

Technical stack

What I build with

Across the full delivery stack — from database schema to deployed UI, from LLM integration to CI/CD pipeline.

🐍

Python & Backend

FastAPIFlaskmicroservicesRAG pipelinesmulti-agentautomation scripting
⚛

Frontend

React.jsTypeScriptTailwind CSSZustandReactFlow
☁

Cloud & DevOps

Azure AZ-204DockerKubernetesGitHub ActionsAzure DevOpsIaCVercel
🗄

SQL & Data

PostgreSQLMySQLSQLitequery optimizationindex tuningmigration tooling
🤖

AI & LLM

LLM API integrationprompt engineeringRAGHugging FacePyTorchNLP/NER
📊

Analytics & PostHog

SDK instrumentationfeature flagsfunnelscohort analysisA/B experimentssession recording

Work

Featured projects

Production-deployed applications — all publicly accessible, all built end-to-end.

📈
↗ ⚙

SAP O2C Graph Explorer

Full-stack financial analytics platform ingesting 4,670+ records at sub-300ms response times. Custom SQL query optimization via EXPLAIN ANALYZE, zero breaking changes across 3 deployment iterations.

React.jsTypeScriptFastAPIPostgreSQLCytoscape.jsCI/CD
🔀
↗ ⚙

VectorShift Pipeline Builder

AI workflow UI with reusable BaseNode abstraction cutting new node creation by ~85%. FastAPI backend with DFS-based DAG cycle detection validated against self-loops and disconnected components.

React.jsReactFlowZustandFastAPIPythonDAG
🤖
⚙

Multi-Agent Business Assistant

Distributed multi-agent pipeline with specialized Research, Marketing, Finance, and Report agents coordinated via an orchestrator layer. RAG workflows with vector embeddings for context-aware retrieval.

PythonFastAPILLMsRAGPostgreSQLGroq API
💬
↗ ⚙

NEXORA-AI Learning Assistant

Generative AI learning assistant with real-time streaming responses and provider-agnostic architecture. Optimized for concurrent-user load and low latency LLM inference pipelines.

PythonFlaskLLMStreaming APIRender
🔬
⚙

ARIA — Autonomous Research Agents

Multi-agent pipeline with specialized research, marketing, finance, and report agents. Deployed on Hugging Face Spaces with live pipeline monitoring via terminal logs and tabbed visualizations.

PythonLLaMA-3FastAPIGradioHugging Face
+
More on GitHub

History

Experience

Microsoft Azure Cloud Intern
Ballari Institute of Technology & Management
Dec 2024 – May 2025 · Ballari, Karnataka
  • Designed and deployed cloud-native applications on Azure App Services, Azure Functions, and Azure SQL following the Well-Architected Framework.
  • Built Docker-containerized backends through Azure DevOps CI/CD pipelines with automated build, test, and release stages.
  • Implemented IaC patterns and deployment automation scripts reducing manual intervention across environments.
  • Conducted log analysis and debugging across microservices; established health-check endpoints to detect and minimize service downtime.
Python Development Intern
EZ Technology & Training, BITM
Nov 2023 – Dec 2023 · Ballari, Karnataka
  • Onboarded to an unfamiliar Flask/PyTorch codebase within one week and delivered the first independent bug fix by day 10.
  • Developed REST API features from specifications, ensuring clean separation of concerns and testable code.
  • Collaborated with developers and stakeholders to translate requirements into production-ready solutions.
B.E. Electronics & Communications Engineering
Ballari Institute of Technology & Management
2021 – 2025 · Ballari, India

Coursework: Data Structures & Algorithms · Software Engineering · Machine Learning · Cloud Computing · Database Systems

Credentials

Certifications

🔷
Azure Developer Associate
AZ-204 · Microsoft
☁
Azure Fundamentals
AZ-900 · Microsoft
🤖
Generative AI Certificate
UpGrad

Specialization

PostHog hands-on practice

Self-directed implementation covering the full FDE engagement workflow.

SDK instrumentation

Event capture, user identification, property enrichment, anonymous → identified identity resolution edge cases.

Feature flags & A/B

Multivariate feature flags, experiment validation, payload delivery, flag consistency testing.

Funnels & retention

AARRR lifecycle conversion funnels, cohort-based retention tables, drop-off analysis.

Session recording

UX friction surfacing, rage-click pattern identification cross-referenced with funnel data.

Custom SQL insights

Queried PostHog data warehouse, optimised slow queries via EXPLAIN ANALYZE for non-default dashboard questions.

Privacy & data pipelines

GDPR property masking, IP anonymisation, PostgreSQL event export pipelines with schema validation.

Connect

Let's build something

✉
nanjundi9731@gmail.com
📱
+91-9731371135
⚡
github.com/Nanjundi15
🔗
linkedin.com/in/nanjundi-k
📍
Ballari, Karnataka, India
Open to opportunities

Immediately available. Valid passport, willing to travel for onsite customer engagements. Comfortable working as an extension of the customer's team across any IT role.

✓ Immediately available ✓ Valid passport ✈ Willing to travel 🌐 Remote-friendly