AI & Software Engineer

Mohammed
Arhaan Ali

Building production AI systems that don't break in the real world — RAG pipelines, multi-agent backends, and full-stack applications shipped to production.

0
CGPA
0
Live deployments
0
DSA problems
01
Projects
3 production AI systems · live demos
02
Stack
FastAPI · K8s · LangChain · Qdrant
03
About
Published Researcher · CGPA 9.53 · Mumbai
04
Contact
Email · LinkedIn · Github
05
Research
ICSCDS 2025 · Published paper
06
Resume
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FastAPI LangChain Kubernetes RAG Systems Qdrant Docker React PostgreSQL Redis LLM Fine-tuning GitHub Actions Multi-agent AI FastAPI LangChain Kubernetes RAG Systems Qdrant Docker React PostgreSQL Redis LLM Fine-tuning GitHub Actions Multi-agent AI
01

Selected work

01
Multi-agent · Full stack

AI Travel Copilot

Three intelligent modules: automated flight disruption resolution via NLP, local experience discovery over OSM + Reddit + blog data into Qdrant, and multi-destination trip planning with dynamic re-planning and multi-user collaboration.

✦ Zero human steps in disruption resolution
FastAPIGeminiLangChainQdrantMongoDBRedisReact
View on GitHub →
02
Mobile · AI-powered

Weekflow

Personal productivity app that connects weekly task planning, daily life journaling, and focus tracking to generate an AI-graded weekly performance report. Built with React Native, Supabase, and the Anthropic Claude API — with server-side AI calls via Edge Functions, offline-first architecture, and Row Level Security for multi-user safety.

✦ Daily life context feeds directly into AI report generation
React NativeExpoSupabaseClaudeTypeScriptPostgreSQLReact
View on GitHub →
03
RAG · Production

RAG Study Assistant

Hybrid FAISS + BM25 retrieval with 3-tier grounding system (strict/loose/none). Multi-user concurrent sessions, OAuth, semantic caching. Live deployed.

✦ 3-tier hallucination control
FastAPIFAISSBM25RedisReact
Live demo →
04
ML

F1 Race Predictor

Advanced ML system that predicts F1 race winners using multi-season training (2023+2024) to forecast 2025 races.Features temporal validation, 57 engineered features, and incremental learning capabilities.

✦ 86.18% ROC AUC · 57 features
Random ForestXGboostLogistic Regression
GitHub →
05
Research · Published

Parallel RFN Paper

Proposed PRFN — a hybrid RNN + LSTM + GRU architecture , outperforming standalone recurrent models on multi-step stock price forecasting.

✦ ICSCDS 2025
PyTorchLSTMRNNTime-series
Read paper →
06
ML · In progress

F1 Strategy Engine

8-service real-time telemetry platform. Kubernetes, Prometheus, Grafana, k6 load testing. Cross-platform: React web, Tauri desktop, React Native mobile.

✦ Provides real-time strategies for drivers using real-time data
K8sDockerFastAPITauriReact Native
02

Tech stack

I build across the full stack with a focus on AI engineering — production RAG systems, multi-agent pipelines, and the infrastructure that keeps them running reliably at scale.

The goal is always the same: systems that work in production, not just in notebooks.

AI / ML
LangChainLangGraphCrewAIFAISSQdrantGemini
Backend
FastAPIPythonNode.jsWebSockets
Frontend
ReactTypeScriptReact NativeTauri
Database
PostgreSQLMongoDBRedisSQLite
Infra
DockerKubernetesGitHub ActionsPrometheus
03

About

Final-year AI & Data Science engineer at Thadomal Shahani Engineering College, Mumbai. Hall of Fame Awardee. Published researcher at ICSCDS 2025.

I believe the most valuable engineers in the AI era are those who can own a system end-to-end — design the architecture, debug across layers of abstraction, and use AI tools as force multipliers without becoming dependent on them.

Currently building the F1 Real-Time Strategy Engine as a deep dive into Kubernetes, CI/CD, observability, and cross-platform frontends.

GitHub
🏆
Hall of Fame Awardee
Highest departmental honour recognising outstanding academic and technical excellence.
🥇
Rank 1 / 134
AI & Data Science Department· Semester VI · 10/10 GPA
📄
Published Researcher
ICSCDS 2025 · Neural network architectures
🚀
3 Production Deployments
Live demos · Real users · CI/CD pipelines
📍
Mumbai, India
Open to remote US · UK · Dubai

Let's connect

Open to great work

AI engineering and software engineering roles in Mumbai, remote US/UK, or Dubai.