Building systems
that outlast the chaos
Subin Joshua Sunil
Technical leader and systems architect — I walk into chaos and ship infrastructure that outlasts it.
Director of Technology & Operations at ThinkFISH, where I lead a 20+ member team and own the entire operational infrastructure — platforms, data warehouse, automation pipelines, and five production websites serving 108+ B2B clients.
I've built three production platforms from scratch, solo. An enterprise analytics tool processing 480+ campaigns. A data warehouse handling 48K prospects at 99.9% uptime. A LinkedIn outreach operating system with seven phases of development complete.
My pattern: find the bottleneck, build the system, document the playbook, move to the next one.
Director of Technology & Operations
ThinkFISH
Lead 20+ member team, own full operational infrastructure, reduced manual work 80%, scaled newsletter 0 → 86K subscribers. Primary architect across ARGUS, Data Warehouse, and all automation systems.
Systems Manager
ThinkFISH
Unified 5+ fragmented platforms, led HubSpot CRM implementation post-acquisition. Designed and shipped the operational infrastructure that now runs the company. Promoted to Director within 8 months.
Operations & Automation Lead
Manhattan Global Partners
Automated workflows across CRM, research databases, and reporting pipelines — 70% reduction in manual effort. Built operational dashboards giving leadership real-time visibility.
Operations Specialist
RealtySimplified LLC
Built lead management workflows with automated routing, follow-ups, qualification, and status tracking. Implemented real-time alerting for pipeline health monitoring.
Technical Support Lead
HP Inc., Bangalore
Led customer support operations team. Built macro toolkit replacing manual copy-paste workflows. Created knowledge base system for recurring issues. Automated weekly reporting with Python.
Technical
Skills.
Languages & Frameworks
Databases & Infrastructure
AI & Automation
GTM & Operations
Architecture & Practices
Designing Websites
Dark aesthetics, type-driven layouts, scroll-driven interactions — I care about how things feel, not just how they work.
Building Scrapers
Structured data extraction at scale. Headless browsers, proxy rotation, anti-detection patterns, pipeline orchestration.
Cryptography
Encryption schemes, hashing algorithms, zero-knowledge proofs, protocol design — the math that keeps systems honest.
ML From First Principles
I can ship production AI apps — but calling claude.messages.create() isn't the same as understanding what's underneath. Currently grinding through the math so I can build models, not just consume them.
Linear Algebra & Matrix Theory
Eigendecomposition, SVD, matrix calculus, vector spaces — the language every model actually speaks. Not just numpy.linalg, but understanding why PCA works and what attention heads are really computing.
Probability, Statistics & Information Theory
Bayesian inference, maximum likelihood, KL divergence, entropy, conditional distributions. The math behind why cross-entropy loss works, not just that it does.
Optimization & Calculus
Gradient descent variants, backpropagation derivations, convexity, loss landscapes, learning rate dynamics. Building intuition for why models converge — or don't.
From Theory to Architecture
Implementing transformers, attention mechanisms, and training loops from scratch in PyTorch. No wrappers, no HuggingFace — raw tensor operations to bridge the gap between math and working models.
Applied ML Engineering
Fine-tuning, RAG architectures, evaluation harnesses, RLHF pipelines, and model deployment. The endgame: not just consuming AI APIs, but building the systems behind them.