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vikasOzark/README.md

header


About Me

class Vikas:
    def __init__(self):
        self.role       = "Full Stack Developer ยท AI & LLM Engineer"
        self.location   = "Delhi NCR, India ๐Ÿ‡ฎ๐Ÿ‡ณ"
        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."

๐Ÿ”ญ Building LLM systems in production

โš–๏ธ Solo creator of Nyayakosh โ€” 1,000+ legal professionals

๐Ÿง  LangGraph ยท RAG ยท LangSmith evals

๐Ÿณ From schema to Kubernetes, I own the stack

๐Ÿ’ฌ Ask me about agents, RAG, Django, Go

โšก Fun fact: I learned Python while running a Starbucks shift


๐Ÿš€ Featured Project

โš–๏ธ Nyayakosh โ€” AI for Indian Legal Documents

Scanned court filings โ†’ searchable, auto-bookmarked PDFs + LLM case analysis in Hindi & English

Users Status Languages Built by

flowchart LR
    A[๐Ÿ“„ Scanned Filing] --> B[๐Ÿ” OCR]
    B --> C[๐Ÿ”– Auto Bookmarks]
    B --> D[(๐Ÿงฎ Vector DB)]
    D --> E[๐Ÿค– RAG Agent]
    E --> F[๐Ÿ“ Case Analysis<br/>Hindi ยท English]
    C --> G[๐Ÿ“š Searchable PDF]
Loading

๐Ÿ› ๏ธ What I've Built

๐Ÿค– AgentCore

Agentic customer-intelligence & lead-scoring platform. Dual-path LangGraph architecture coordinating 8 specialized agents.

LangGraph LangChain LangSmith

๐Ÿ“š Enterprise RAG Pipelines

Retrieval systems with instrumented retrieval & prompt quality โ€” regressions caught before release, not in prod.

LangChain Vector DBs LangSmith

๐Ÿ“ฆ Kubyts

Docker & LXD image-repository management platform, built end to end.

DRF Next.js React Query PostgreSQL

๐ŸŒ Go API Gateway

Standalone gateway routing and proxying requests across platform services.

Go Microservices

โ˜๏ธ Skylus / Skylus.AI

Managed private cloud for enterprises + portal serving pre-configured containers and VMs for AI workloads.

OpenStack Django React

๐Ÿ–ฅ๏ธ TCM

Provisioning & monitoring for high-performance computing (HPC) clusters.

React HPC


๐Ÿงฐ Tech Stack

Languages

Backend

Frontend

Data & Infra

AI & LLM


๐Ÿ“ˆ Journey

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
Loading

๐Ÿ“Š GitHub Analytics


๐Ÿ Contribution Snake

contribution snake

๐Ÿค Let's Build Something

Open to conversations about AI engineering, full-stack roles, and legal-tech.

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