🔗 LinkedIn | 🐙 GitHub | 📧 Email
👋 Full Stack Systems Engineer • AI Agent Architect
Building low latency backends, distributed systems, and multi agent AI orchestrations.
📌 Professional Summary
Systems engineer with a quantitative background in electricity market trading, analytics, and technical growth. Specializing in high throughput Python/Node.js backends, Kubernetes networking, and stateful multi agent AI systems using LangChain and LangGraph.
| Category |
ToolKit |
| AI & Agentic Systems |
LangGraph, LangChain, Agentic Workflows, MultiAgent Orchestration |
| Backend Engineering |
Python (FastAPI, Django), Node.js (Express), Go |
| Frontend Engineering |
Reactjs, Nextjs , Tailwind Css , Zustand, TanStack Query |
| Cloud & Infra |
Docker, Kubernetes, Nginx, Aws (EC2, RDS, S3, CloudFront) |
| Data & Analytics |
PostgreSQL, MongoDB, Jupyter Notebooks, NumPy, Pandas |
| Testing & CI/CD |
Pytest, Jest, Postman, GitHub Actions |
| Technical Growth |
Technical SEO, PLG Analytics, HubSpot, Intercom |
🚀 Featured Projects
🤖 Agent Climate Risk Platform
Designed and built a stateful, cyclic multi agent system to automate complex market data analysis and forecasting pipelines.
- Orchestration: Leveraged LangChain for prompt formatting, tool calling definitions, and structured output parsing to ensure reliable communication between specialized agent nodes ( Risk Agent, Analytics Agent, and Actuarial Agent).
- Tech Stack: LangGraph, LangChain, Python, FastAPI, PostgreSQL, Gemini API, Docker.
- Link:https://github.com/danishdynamic/Agentic-Climate-Risk-Asset-Underwriter-Green-Bond-Auditor
☸️ Kubernetes Ecosystem Contributor | Spidernet-io (Spiderpool)
Contributed to core cloud-native networking infrastructure within the CNCF landscape.
- Impact: Transitioned driver security to node-local authorization verbs (
associated-node:update), enforcing strict least-privilege access management across clusters.
- Tech Stack: Go, Kubernetes API, RBAC, YAML, K8s Dynamic Resource Allocation (DRA).
- Link: https://github.com/spidernet-io/spiderpool/pull/5544
📊 Open Source Contributor | Open Climate Fix
Improved production renewable energy predictability tooling used for grid level solar forecasting.
⚡ Real-Time Distributed Voting System
Designed a high throughput microservices architecture capable of handling concurrent event streams smoothly.
- Impact: Built an asynchronous pipeline using Kafka to decouple write heavy ingestion workloads from downstream persistence layers, utilizing Redis for real time memory caches.
- Tech Stack: Python, Flask, Apache Kafka, Redis, Docker, GitHub Actions.
- Link: https://github.com/danishdynamic/realtime-voting-system💼 Professional Experience
***Full Stack Agentic Climate Risk Platform***
⌨️ Professional Experience
Cloud Native & Backend Engineer — Freelance
Oct 2025 – Present | Remote (India)
- Kubernetes Networking: Engineering and testing production grade networking solutions within CNCF aligned environments, focusing on network resource isolation and security models.
- Climate-Tech Backend Infrastructure: Designing Python pipelines to ingest, clean, and process massive datasets for real time solar energy production forecasting models.
Technical Growth Strategist & Web Developer — Freelance
Dec 2023 – Present | Remote (India)
- SEO & Frontend Infrastructure: Re architected technical SEO layers and core web vitals for clients, driving measurable upturns in organic visibility and user conversion rates.
- Conversion Optimization: Developed fast, modular landing pages using semantic JavaScript ecosystems optimized for performance and automated lead capture.
BDR Level II & Technical Growth — Databox
Apr 2022 – Nov 2023 | Remote (Ljubljana / Boston)
- PLG Analytics: Used HubSpot, Intercom, and advanced data tracking to audit product led growth pipelines and optimize onboarding loops based on behavioral indicators.
- Enterprise Problem Solving: Collaborated closely with technical buyers to break down data ingestion and dashboard integration friction points. Promoted to Level II in under 9 months.