hey, I'm
Satyakam
Singhal
I'm a self-taught developer and product builder. I architect scalable fintech and AI systems from blueprint to launch — and lately, I'm obsessed with building AI agents that do real work.
Currently at Recur Club. Previously first engineer at CirclePe where I built the entire tech infrastructure from scratch. IIT Delhi. 6+ years building everything from crowdsourcing platforms to fintech loan systems to AI automation.
building openclaw · experimenting with browser agents · shipping at recur
Writing
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OpenClaw
Self-hosted AI agent for autonomous web tasks. Browser automation with FastAPI orchestration and Chrome DevTools Protocol.
Memory MCP Server
Persistent knowledge graph with semantic search for LLM workflows. AWS Lambda + DynamoDB + Bedrock embeddings.
AI Content SaaS
Full-stack platform with 10+ social media APIs, fine-tuned Stable Diffusion, and recommendation engine analyzing 1M+ posts.
Disaster Prediction
NLP + LSTM pipeline for crowdsourced flood prediction. 95% classification accuracy. Published at AGU 2020.
Experience
Software Engineer @ Recur Club
Oct 2025 - PresentBuilding Spring Boot microservices for B2B debt marketplace. Eliminated 10+ weekly production incidents, improved load time by 35%.
Founding Engineer @ CirclePe
Apr 2023 - Oct 2025First engineer, third person to join. Built the entire fintech platform from scratch — lending infrastructure, credit decisioning, KYC/AML integrations. Scaled to 20 Cr+ lending volume.
Python Developer Intern @ AT&T
Mar 2022 - Dec 2022Optimized AWS Lambda pipelines (83% faster), built in-house NLP transliteration engine replacing Azure API.
Research Assistant @ IIT Delhi
Jan 2020 - May 2021Built INDRA crowdsourcing dashboard for disaster monitoring. LSTM-based flood prediction. Published at AGU 2020.
What I Build
Lending platforms, underwriting, payment rails
Browser automation, knowledge graphs, LLM tools
NLP pipelines, real-time processing, predictions
Spring Boot, React, Node, Python, AWS
Thoughts
" AI agents are the new microservices
Every repeatable workflow I encounter, I now ask: can an agent do this? Browser automation, data pipelines, even code review — the agent-first mindset changes how you architect systems.
" Your context is your moat
Building a persistent memory system for my LLM workflows taught me something: the model doesn't matter as much as the context you feed it. Cross-session memory turns a stateless tool into a collaborator.
" Founding engineer ≠ first employee
Building CirclePe from zero meant making irreversible architecture decisions with incomplete information, every single day. The skill isn't coding — it's knowing what to build next when everything is on fire.
Get in touch
I'm always open to interesting conversations. Reach out at satyakam068@gmail.com