class NakulVerma:
def __init__(self):
self.role = "Full Stack Developer"
self.location = "Greater Noida, India"
self.education = "B.Tech, KCC Institute of Technology & Management (2023-2027)"
self.focus = ["LLMs & RAG pipelines", "Agentic AI", "Full-stack web apps", "Real-time ML systems"]
self.currently_building = "systems that reason, not just respond"
def say_hi(self):
print("Let's build something amazing together! π€")
me = NakulVerma()
me.say_hi()- π Secured #1 Position in a National Level Hackathon for an AI solution
- βοΈ Google Cloud Professional Cloud Developer certified
- π Led a 4-person team to automate yearly reporting β saved 120+ man-hours/cycle
- π§ Deep into RAG, Whisper, real-time audio ML, and Agentic AI workflows
- π¬ Ask me about full-stack architecture, LLM pipelines, or real-time detection systems
π₯ VisionXYOLOv8 Β· Python Β· Flask Β· Machine Learning GPU-accelerated real-time object detection platform for industrial safety equipment.
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π ResumeSnapPython Β· NLP Β· OCR Β· LLM AI-powered resume parser that matches candidates to job descriptions.
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ποΈ VoiceGuardPython Β· RAG Β· Whisper Β· LLM Β· WebRTC VAD Real-time voice monitoring platform for distress detection & emergency alerting.
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Next.js Β· TypeScript Β· Tailwind Β· Firebase Full-stack professional networking platform with a responsive, component-driven UI.
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πΌ Experience Timeline (click to expand)
Oct 2025 β Nov 2025 Freelance Backend Developer @ WandrAI (Verso)
β Architected scalable REST APIs & microservices (Node.js, Python, PostgreSQL)
β Optimized DB schemas & queries, cutting processing time by 20%
Aug 2025 β Sep 2025 Python Full Stack Developer Intern @ Zenlynx Technologies
β Built real-time RAG audio analysis engine, 90%+ distress detection accuracy
β Automated ETL pipelines, cutting manual processing time by 65%
Sep 2024 β Oct 2024 Python Developer Intern @ CodSoft Solutions
β Implemented caching strategies β 30% faster load times
β Integrated LLM-based text analysis, cutting processing time by 60%