Kushal Gajurel Lead engineer Kathmandu, Nepal
End-to-end products
for the agentic era.
I build the whole product: Python APIs and data pipelines, React and Next.js front ends, and the LLM and agent workflows in between. I chase the projects that make someone's day easier.
- Building software since 2017
- GMT+5:45, overlapping EU and US mornings
- Open to 4–8 week scoped engagements
FrontendHTML · CSS · React · Next.js · Tailwind · Framer Motion · Ant Design
Selected work
A few things I've built.
Resimator.fi - IZY Prediction
Led backend engineering for IZY Prediction at Resimator.fi, delivering scalable APIs and data pipelines for production prediction workflows.
Technologies: Python · FastAPI · Backend · Data Pipelines · Prediction · Lead Engineer
CogniStream.ai
Led engineering for AI-powered voice research workflows, including LLM-assisted analysis pipelines and backend product integrations.
Technologies: AI · LLM · Agentic Systems · Backend · Voice Research · Product Engineering
Wave
GPR Software's WAVE turns raw ground-penetrating radar data into accurate 3D models, keeping full resolution and geolocation while processing large surveys quickly.
Technologies: GPR · 3D modelling · Data processing · Geophysics
Speaker Recognition
Python project using MFCC for voice-based identification and recognition with Artificial Neural Network.
Technologies: Python · PyQt5 · numpy · scipy · sklearn · MFCC · ANN · Principal Component Analysis
Violence Analysis
Applied NLP on Nepali news data for violence analysis, extracting insights through tokenization.
Technologies: Python · NLP · Tokenization
I write backend systems for a living — though it took a while to land here. I've been a security analyst, a data analyst, and now I lead backend engineering, and every stop along the way still shows up in how I build.
Right now I'm the lead backend engineer at Resimator.fi, building the Python APIs and data pipelines behind IZY Prediction, and I lead engineering at CogniStream.ai, where we're using LLMs to make voice research faster. Day to day that's Python and FastAPI, React and Next.js when the job needs a frontend, and lately a lot of LangChain, LangGraph, and RAG pipelines — the agentic side of the stack is where most of the interesting problems are right now.
Before backend was the job, security was. I spent years in a SOC doing incident response and log analysis, and building things that had to hold up under CCPA and GDPR, not just work in a demo. That part of my background doesn't show up on a typical developer's resume, but it's probably the most useful thing I carried over — I still build assuming something is trying to break it.
Ask what that means day to day and the honest answer is: I write code for two very different readers. One skims it once and moves on. The other parses every line, retries the parts it doesn't understand, and never says thank you.
Beyond code
- Digital art
- Generative AI and VFX experiments.
- Animation
- Motion graphics, slowly getting better at it.
Different mediums, same instinct: build the thing properly, then see if it holds up.
Experience
The path so far.
Lead Backend Engineer (Senior Backend)2023 - present Remote
At Resimator.fi, I led backend architecture and delivery for IZY Prediction, building and scaling Python APIs, data pipelines, and production services for prediction workflows.
Lead Engineer2024 - present Remote
At CogniStream.ai, I lead engineering for AI voice-research workflows, including backend systems, LLM-assisted automation, and product integrations for faster qualitative insights.
Full-Stack Developer2023 - present Kathmandu, Nepal
I'm currently working as a Full-Stack Developer on my own projects. My stack includes React, Next.js, TypeScript, Tailwind, and MongoDB. I'm open to full-time opportunities.
Senior Python Developer01/11/2023 - present Kathmandu, Nepal
Developed Flask-based backend for a hospitality product, collaborated on FastAPI integration with Stripe Connect for secure payments, ensuring compliance and streamlined processing.
Data Analyst01/05/2022 – 01/11/2023 Kathmandu, Nepal
Worked in database management, data modeling, ELT processes, and CI/CD pipelines. Utilized AWS and Azure for application deployment and data workflows. Conducted data analysis and created interactive visualizations.
Security Analyst01/05/2020 – 01/05/2022 Kathmandu, Nepal
Developed a Python log analysis framework for log analysis and performance optimization. Demonstrated expertise in compliance regulations (CCPA, GDPR) and collaborated with cross-functional teams to enhance security controls.
Associate Security Analyst01/12/2017 – 01/05/2020 Kathmandu, Nepal
Worked in a Security Operations Center (SOC) environment, monitoring security systems and tools to detect threats and vulnerabilities. Participated in incident response activities and analyzed security incidents.
Skills & capabilities
What I bring
to the table.
Audit & Strategy
Before the first line of code, the API has to be readable by something that doesn't read like you do. I look at what's there and tell you what an agent will trip over.
API audits for agent-readiness
Idempotency, error semantics, schema clarity, auth surfaces, retrievability — audited end-to-end with a remediation plan an engineer can act on tomorrow.
Resimator.fi — IZY Prediction backendMCP server hardening
Security and performance review of existing MCP servers — rate limits, sandboxing, prompt-injection defense, tool-surface minimization.
Build & Migrate
Most APIs were built for a human reading a Postman collection. Migrating them for agents is a different problem with the same shape.
MCP migration
Wrap or refactor existing REST/gRPC/SOAP APIs into MCP servers — schema design, transport selection, auth bridging, deploy.
MCPifying the World — Field ReportGreenfield MCP server design
New MCP servers from scratch — tool surfaces shaped for the agents that will actually call them.
MCPifying the World — Workflow-Level Tool DesignAgent infrastructure
Tool-calling backends, retrieval pipelines, agent state, evaluation harnesses, observability — the plumbing under the agent.
CogniStream.ai — LLM voice research workflowsQuality & Adoption
Once it's shipped, you need to know how it behaves — for both readers. And you need a team that can ship with the new tools without making everything worse.
Evals & observability for agents
Evaluation suites and traces for agent-consuming systems — the closest thing to a test runner you'll get in this era.
Auditing AI Decisions — Industry FrameworkAI-assisted dev consulting
Help teams adopt Claude Code / Cursor workflows, author internal agent skills, set up agentic CI without turning the codebase into a science fair.
Tools & technologies
- Frontend
- HTML, CSS, React, Next.js, Tailwind, Framer Motion, Ant Design
- Programming Language
- Python, Rust, JavaScript, TypeScript, C++, R Language
- Cloud
- Azure AD, AWS CodeDeploy, AWS CodePipeline, Azure Pipelines
- Backend
- Flask, FastAPI
- AI & Agentic
- LangChain, LangGraph, AI Agentic Building, RAG Pipelines, Prompt Engineering
- AI Tools
- Codex (OpenAI), Claude (Anthropic), Magic, Path, Stitch (Google)
- Database
- MongoDB, PostgreSQL, MSSQL, Neo4j, SQLite
- Tools
- Git, Visual Studio Code, SonarQube, GitHub Actions, VMware, Active Directory, Postman, Wireshark, Docker, Jira
Writing
Thinking out loud.
Notes on backends, agent systems, and the occasional reflection.
Have something in mind?
Let's build something.
Open to one or two engagements at a time. If any of this sounds like the work you need, the fastest way in is email. I read everything; I reply to most things within two days.
Say helloOr gajurelkushal1994@gmail.com
Working together
Taking on first dedicated agent-era engagements — happy to discuss audits at no charge.
Best fit: 4–8 week scoped work, async-friendly, GMT+5:45 base with overlap for EU/EST mornings.
I'm open to full-time opportunities.