class AbhirajSingh:
def __init__(self):
self.username = "abhiraj75"
self.location = "Bengaluru, India 🇮🇳"
self.current_focus = ["Agentic LLM Pipelines", "Voice AI", "Full-Stack Products"]
self.philosophy = "Pick unfamiliar domains on purpose - that's where you learn fastest"
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together 🚀")
me = AbhirajSingh()
me.say_hi()[exp] Ex-AI Engineering Intern @ Aatra (Jul - Sept 2026)
Built a production system that tracks tax-law changes across all
50 US states and classifies every rate, taxability and nexus shift
[build] Full-stack products and AI tools: schema-validated LLM agents, voice-AI
[like] Systems where correctness is the hard part: guardrails in code, not prompts
[oss] Active open-source contributor
| Project | What it does |
|---|---|
| SaaS Support Agent | Tool-calling support agent with a spend gate enforced in code and server-side identity to resist prompt injection |
| 108 EMS Voice PCR | Converts Hinglish/English ambulance handoffs into structured patient care reports (Groq Whisper + Llama 3.3) |
| DebugX | Coding practice platform with live judging, AI feedback, and a sandboxed line-by-line Python visualiser |
| BTC Next-Hour Predictor | GBM + FIGARCH Monte Carlo model with 95.1% coverage across a 720-prediction backtest |
| Chain Lens | Decodes raw Bitcoin transactions and blocks into structured JSON reports |
abhiraj@github:~$ exit # thanks for dropping by 👋