Ali Dara Sk | Notion

🔗 LinkedIn | 🐙 GitHub | 📧 Email

👋 Full Stack 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, Nestjs)
Frontend Engineering	Reactjs, Nextjs , Tailwind Css , Zustand, TanStack Query
Cloud & Infra	Docker, Kubernetes, Nginx, Aws (EC2, RDS, S3, CloudFront)
Data & Analytics	PostgreSQL / Pgvector, MongoDB, Postgis, 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 Underwriter Platform

Climate risk intelligence platform engineered for municipal bond underwriting, ESG compliance analysis, portfolio hedging, and multi agent risk assessment.

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, FastAPI, Nextjs, PostgreSQL/Pgvector , Gemini API, Docker.
Link:https://github.com/danishdynamic/Agentic-Climate-Risk-Asset-Underwriter-Green-Bond-Auditor
Product Demo:

Demo of agentic RAG platform for evidence backed sustainability research at GreenTech Industries.

dashboard.png

☸️ 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.

Impact: Contributed to the Quartz Solar Forecast engine, optimizing data processing pipelines for high volume meteorological data streams.
Tech Stack: Python, Pandas, NumPy, Data Pipeline Optimization.
Links : https://github.com/openclimatefix/open-source-quartz-solar-forecast/pull/351

⚡ Urban heat Real State Pricing Engine

Designed a high throughput microservices architecture capable of handling concurrent event streams smoothly.

**Impact:**A full stack ML PropTech and climate finance platform that quantifies how Urban Heat Island (UHI) microclimates and forecasted thermal anomalies impact commercial real estate (CRE) operating expenses (OpEx), Net Operating Income (NOI), and Discounted Cash Flow (DCF) asset valuations.
Tech Stack: FastApi, Nestjs, Reactjs, Quantlib, PostGis, Gradient boosting, Scikit Learn, Docker Compose, Kubernetes.
Link:https://github.com/danishdynamic/Urban-Heat-Island-Real-Estate-Asset-Pricing-Engine
Product Demo:

Demo of Climate aware real estate valuation engine using ML temperature forecasting, energy cost modeling, and DCF based property valuation.

dashboard.png

👨🏾‍🏭 Professional Summary

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.