AITelegramClaude
How I Built a Personal AI Assistant on Telegram Using Claude
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Aug 10, 2026 · 7 min read
Hi, I'm Zaid Shaikh
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I build intelligent systems at the intersection of LLMs and production-grade software. 9+ years turning ambitious ideas into shipped products, from RAG pipelines and autonomous agents to enterprise-scale React & .NET platforms.
Delivering across🇦🇪🇮🇳🇸🇦🇻🇳🇺🇸
9+
Years Experience
10+
Products Shipped
12+
Engineers Mentored
50K+
Tickets / mo
LangChain/LangGraph/OpenAI GPT-4/RAG/FAISS/PyTorch/React.js/TypeScript/.NET Core/Node.js/Docker/Azure/Kubernetes/FastAPI/Kafka/LangChain/LangGraph/OpenAI GPT-4/RAG/FAISS/PyTorch/React.js/TypeScript/.NET Core/Node.js/Docker/Azure/Kubernetes/FastAPI/Kafka/
About Me
Engineering intelligence into real products
Software engineer with 9+ years of enterprise product experience, now building at the intersection of LLMs and production-grade applications. Hands-on with RAG pipelines, LLM agents, and Generative AI systems, bringing a rare combination of deep full-stack engineering and modern AI skills to design, build, and ship AI products end-to-end.
AI-First Thinking
RAG pipelines, agentic workflows, and fine-tuned models built for production, not demos.
Full-Stack Depth
9+ years across React, Angular, Node.js, and .NET, from pixel to database.
Ships at Scale
Enterprise platforms processing 50,000+ transactions/month in production.
Leads Teams
Mentored 12+ engineers, established architecture patterns across 5+ projects.
0+
Years of Experience
0+
Products Shipped
0%
Model Accuracy (DistilBERT)
0%
Faster UI Delivery
Tech Stack
A toolkit spanning AI and full-stack
From vector databases and LLM orchestration to enterprise-grade frontend and backend systems.
LLM & Generative AI
LangChainLangGraphOpenAI API (GPT-4)Prompt EngineeringRAGFAISSChromaDB
Agentic AI
LangChain AgentsTool CallingReAct FrameworkMemory SystemsLangGraph Workflows
ML & Deep Learning
Pythonscikit-learnTensorFlowPyTorchHugging Face TransformersNLP
Data & Vector DBs
PandasNumPyFAISSChromaDBSQLEDAFeature Engineering
AI Deployment
FastAPIREST APIsStreamlitDockerAzureAWS
Frontend Engineering
React.jsReduxAngularTypeScriptJavaScript (ES6+)HTML5 / CSS3Tailwind CSS
Backend Engineering
Node.js.NET CoreASP.NET CoreC#Express.jsGraphQL
Architecture & DevOps
MicroservicesEvent-Driven ArchitectureKafka / RabbitMQAzure DevOpsGitLab CI/CDDocker
Career Path
9+ years of building at scale
From enterprise SaaS delivery to leading teams that ship AI-augmented products.
Full Stack Lead
Feb 2022 - PresentMobadrah Consultancy
- Directed a cross-functional feature team as technical lead, owning sprint planning, story refinement, and stakeholder demos for government and enterprise clients across KSA and UAE.
- Architected scalable microservice systems using event-driven patterns and API-led connectivity for complex, multi-module government award platforms (NEOM SAW, KAQA).
- Integrated LLM-powered features (OpenAI API) into existing SaaS dashboards, including smart search, auto-generated KPI summaries, and natural-language filters.
- Mentored junior and mid-level engineers through code reviews, established coding standards adopted across 5 concurrent projects, and cut UI delivery time by 40%.
Senior Software Engineer
Mar 2018 - Jan 2022Mobadrah Consultancy
- Built KPI tracking and telecom onboarding platforms using .NET Core, Angular, and SQL Server aligned with agile sprint delivery cycles.
- Delivered AMER ITSM, a high-volume ticket management platform handling 50,000+ tickets/month with real-time updates via WebSockets.
- Improved UI performance by 25% and reduced bundle size by 35% through code-splitting, lazy loading, and Redux state normalization.
- Implemented centralized logging and monitoring, cutting incident response time by 25% across distributed enterprise applications.
Software Engineer
Nov 2016 - Feb 2018Capillary Technologies
- Delivered e-commerce and healthcare SaaS applications with React-based frontends, integrating REST APIs and third-party analytics dashboards.
- Developed reusable UI components used across 3 product lines, reducing per-feature development time by 20%.
Selected Work
AI systems and enterprise platforms
A mix of Generative AI experiments built to production standard, and large-scale enterprise systems shipped for real clients.
Generative AI
DocuMind
RAG Document Intelligence System
Retrieval-Augmented Generation pipeline for multi-document Q&A, from PDF ingestion to context-aware GPT-4 answers.
- End-to-end RAG pipeline: ingests PDFs, chunks and embeds them, stores in FAISS, and retrieves context-aware answers via GPT-4.
- Conversational memory so follow-up questions retain prior context without re-querying the full corpus.
PythonLangChainOpenAI GPT-4FAISSFastAPIStreamlit
Generative AI
AgentFlow
Autonomous LLM Agent with Tool Calling
A multi-step reasoning agent that plans and executes tasks using real-world tools via the ReAct pattern.
- ReAct-pattern agent that autonomously selects from web search, calculator, and Wikipedia tools for complex, multi-hop queries.
- Rebuilt in LangGraph, modelling the reasoning loop as an explicit state machine. This improved observability and enabled conditional branches with human-in-the-loop checkpoints.
PythonLangChain AgentsLangGraphOpenAI
Generative AI
SentimentStream
NLP Sentiment Analysis API
A fine-tuned transformer model serving product-review sentiment classification at scale.
- Fine-tuned DistilBERT on 25,000 product reviews, reaching 91.4% accuracy versus 83.2% for a TF-IDF + logistic regression baseline.
- Dockerized FastAPI service with a batch inference endpoint for CSV uploads.
PythonHugging Face TransformersFastAPIscikit-learnDocker
Enterprise
NEOM SAW
Award Nomination & Evaluation System
A large-scale government award nomination and evaluation platform with automated workflow and scoring.
- Workflow automation and API-driven evaluation modules for large-scale government submissions.
- Real-time KPI dashboards and evaluation analytics built with Highcharts.
React.jsRedux-SagaTypeScript.NET CoreHighchartsMySQLFirebase
Enterprise
AMER ITSM
High-Volume Ticket Management Platform
An enterprise IT service management platform processing tens of thousands of tickets per month.
- Handles 50,000+ tickets/month with real-time updates via WebSockets.
- Full test coverage with Jest and Selenium across critical ticketing workflows.
React.jsReduxJestSeleniumAngular MaterialMySQL
Enterprise
KAQA
Government Quality Award Platform
End-to-end nomination, scoring, and evaluation platform with role-based access and dynamic reporting.
- Role-based access control across multi-module nomination and scoring workflows.
- Dynamic reporting layer for real-time evaluation insights.
.NET CoreAngularSQL ServerFirebase
Foundations
Education & Certifications
Education
PG Diploma in Software Technologies
CDAC Mumbai
2015 - 2016
B.E. in Electronics & Telecommunication
Nagpur University
2011 - 2015
Certifications
- Microsoft Azure Fundamentals (AZ-900 / AZ-901)
- Microsoft Azure Administrator (AZ-104)
- PMP, Project Management Professional
Writing
Notes on shipping AI products
Field notes from building RAG pipelines, LLM agents, and bridging AI with production full-stack engineering.
Let's Build Something
Have an AI product idea, or a team that needs full-stack leadership?
I'm currently open to Generative AI engineering and full-stack leadership roles or engagements. Reach out, and I usually reply within a day.
+971 56 159 8877 · +91 80879 39230