class Vikas:
def __init__(self):
self.role = "Full Stack Developer ยท AI & LLM Engineer"
self.location = "Delhi NCR, India ๐ฎ๐ณ"
self.experience = "4.5+ years in production"
self.focus = ["Multi-Agent Systems", "Enterprise RAG",
"Scalable Backends", "Clean UIs"]
self.building = "Nyayakosh โ AI for Indian legal docs"
self.journey = "Starbucks shift manager โ self-taught engineer"
def philosophy(self):
return "Own it end to end. Ship it. Measure it. Improve it." |
๐ญ Building LLM systems in production โ๏ธ Solo creator of Nyayakosh โ 1,000+ legal professionals ๐ง LangGraph ยท RAG ยท LangSmith evals ๐ณ From schema to Kubernetes, I own the stack ๐ฌ Ask me about agents, RAG, Django, Go โก Fun fact: I learned Python while running a Starbucks shift |
โ๏ธ Nyayakosh โ AI for Indian Legal Documents
Scanned court filings โ searchable, auto-bookmarked PDFs + LLM case analysis in Hindi & English
flowchart LR
A[๐ Scanned Filing] --> B[๐ OCR]
B --> C[๐ Auto Bookmarks]
B --> D[(๐งฎ Vector DB)]
D --> E[๐ค RAG Agent]
E --> F[๐ Case Analysis<br/>Hindi ยท English]
C --> G[๐ Searchable PDF]
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Agentic customer-intelligence & lead-scoring platform. Dual-path LangGraph architecture coordinating 8 specialized agents.
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Retrieval systems with instrumented retrieval & prompt quality โ regressions caught before release, not in prod.
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Docker & LXD image-repository management platform, built end to end.
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Standalone gateway routing and proxying requests across platform services.
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Managed private cloud for enterprises + portal serving pre-configured containers and VMs for AI workloads.
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Provisioning & monitoring for high-performance computing (HPC) clusters.
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timeline
title From Starbucks to AI Engineering
2018 : Shift Manager, TATA Starbucks
: Started learning Python
2021 : First dev work โ Django, remote clients
2022 : Django Developer, Innovatia
: Ayuvya e-commerce platforms
2023 : Full Stack & Go Developer, Netweb India
: Kubyts ยท Skylus ยท HPC tooling
2025 : Full Stack Developer, Coreops.ai
: AgentCore ยท Enterprise RAG
Now : Nyayakosh live with 1,000+ users
Open to conversations about AI engineering, full-stack roles, and legal-tech.