┌──(devarshi㉿portfolio)-[~]
└─$ ./boot-profile.sh

[ OK ] Identity loaded
[ OK ] Projects mounted
[ OK ] AI systems online

Welcome to DevarshiOS 2026.09 LTS

~/identity

┌──(devarshi㉿portfolio)-[~]
└─$ whoami --verbose

Name       Devarshi Lalani
Role       AI/ML Engineer · Full-Stack Engineer
Work       Software Development Engineer @ acquire.io
Focus      Agentic AI · RAG · AI orchestration · scalable systems
Location   Ahmedabad, Gujarat, India
Education  B.E. Computer Science · L J University · 2022–2026
Status     Building systems that reason, retrieve, and ship

┌──(devarshi㉿portfolio)-[~]
└─$ cat about.md

AI/ML engineer building LLM-powered products, agentic workflows,
and multi-tenant AI orchestration platforms.

I work across the complete product stack—from LangChain,
LangGraph, RAG, and FastAPI services to React, Node.js,
data systems, and cloud deployment.

I care about grounded AI, reliable architecture, and turning
prototypes into production systems people can actually use.

~/stack

┌──(devarshi㉿portfolio)-[~]
└─$ tree skills/ -L 2

skills/
├── agentic-ai
│   └── LangChain · LangGraph · RAG · Tool Use · Guardrails
├── generative-ai
│   └── OpenAI · Gemini · Hugging Face · Prompt Engineering
├── machine-learning
│   └── Scikit-learn · TensorFlow · NLP · Embeddings
├── backend
│   └── FastAPI · Node.js · Django · REST APIs
├── frontend
│   └── React · TypeScript · JavaScript · Tailwind CSS
├── data
│   └── PostgreSQL · Prisma · Redis · Pandas · NumPy
├── infrastructure
│   └── AWS · Vertex AI · Docker · Vercel · Railway
└── languages
    └── Python · TypeScript · JavaScript · Java · C++

~/experience

┌──(devarshi㉿portfolio)-[~/experience]
└─$ git log --oneline --reverse

2025-02..2025-06  ML Intern · Feynn Labs
  ├─ Built AI-assisted market-segmentation workflows
  ├─ Accelerated prospect identification by 40%
  └─ Developed an SME cash-flow forecasting system

2026-01..2026-03  ML Intern · fxis.ai
  └─ Applied supervised, unsupervised, and deep-learning workflows

2026-03..present  Software Development Engineer · acquire.io
  ├─ Building multi-tenant agentic AI orchestration features
  ├─ Working with LangChain, LangGraph, RAG, FastAPI, and React
  ├─ Designed tenant-level LLM usage metering and credit tracking
  └─ Shipped product features including Stripe subscriptions

~/projects

┌──(devarshi㉿portfolio)-[~/projects]
└─$ ls --featured

01  AllotIQ
    Agentic IPO intelligence and portfolio platform
    ├─ Evidence-backed analyst reports and grounded AI chat
    ├─ Deterministic apply / wait / avoid scoring engine
    ├─ Citation validation and hallucination guardrails
    ├─ LangChain · GPT-4o-mini · FastAPI · Next.js · PostgreSQL
    └─ https://allotiq.in

02  MLCLI Toolkit
    Open-source ML/DL training CLI and pip package
    └─ Scikit-learn · TensorFlow · model registry · explainability

03  AlphaVista
    AI-assisted stock analysis platform
    └─ Price prediction · VADER sentiment · live APIs · Redis

04  Blockchain Transaction UI
    Open-source TypeScript and React npm package
    └─ Wallet connection · live transaction-state components

~/education

┌──(devarshi㉿portfolio)-[~]
└─$ cat education.yml

university: L J University, Ahmedabad
degree: B.E. Computer Science and Technology
duration: Nov 2022 — Sept 2026

certifications:
  - MLOps for Generative AI · Google Cloud · Apr 2025
  - AWS Cloud Technical Essentials · Coursera · Mar 2025
  - Exploratory Data Analysis for Machine Learning · Jan 2025

~/telemetry

~/contact

┌──(devarshi㉿portfolio)-[~]
└─$ connect --with devarshi

LinkedIn  linkedin.com/in/devarshilalani05
GitHub    github.com/codeMaestro78
Email     devarshilalani.devflow@gmail.com

Connection ready. Let's build something meaningful.

_{devarshi@portfolio:~$ exit 0}