Nisar A.

Hi 👋 I'm Nisar, a Senior Software Engineer with 12+ years of experience building scalable Python backend systems and AI-powered web applications. Over the past several years, I've specialized in production AI systems, LLMs, RAG, AI Agents, and Machine Learning, while also serving as a Fractional CTO and AI/ML Team Lead. I help startups and SaaS companies design, build, and scale intelligent products, from AI-first MVPs and enterprise AI platforms to workflow automation and cloud-native systems, combining practical AI implementation with solid software engineering. My experience spans FinTech, HealthTech, PropTech, EdTech, and MarTech, taking products from early-stage MVPs to large-scale production environments. 𝐋𝐋𝐌 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 I build end-to-end LLM applications using OpenAI (GPT-4o), Claude, Gemini, Llama, and Mistral, with experience across → Retrieval-Augmented Generation (RAG) over documents, databases, and enterprise knowledge bases → AI Assistants, AI Copilots, AI Agents & Multi-Agent Workflows using LangChain, LangGraph, LlamaIndex & AutoGen → Prompt Engineering, Function Calling, Structured Outputs & LLM Evaluation → Semantic Search, Knowledge Retrieval & Intelligent Workflow Automation 𝐏𝐲𝐭𝐡𝐨𝐧 𝐁𝐚𝐜𝐤𝐞𝐧𝐝, 𝐂𝐥𝐨𝐮𝐝 & 𝐒𝐲𝐬𝐭𝐞𝐦 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 My core engineering expertise includes → Python (FastAPI, Django & Flask) → REST & GraphQL APIs → Async Services, Microservices & Event-Driven Architecture → PostgreSQL, MySQL, MongoDB & Redis → Docker, Kubernetes & CI/CD Pipelines → AWS, Microsoft Azure & Google Cloud Platform → Clean Architecture, Secure Authentication & API Documentation When needed, I also contribute across the frontend using React, Next.js, and TypeScript. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐌𝐋𝐎𝐩𝐬 Beyond LLM applications, I build and deploy production-ready machine learning systems, including → Machine Learning & Deep Learning using PyTorch, TensorFlow, Hugging Face, Scikit-learn, Pandas & NumPy → Predictive Analytics, Classification, Regression, Clustering, Anomaly Detection & Time-Series Forecasting → Recommendation Systems & Intelligent Decision Models → Computer Vision using OpenCV, YOLO, CNNs & Vision Transformers → MLflow & Apache Airflow for model deployment, experiment tracking & production ML pipelines 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐍𝐋𝐏 I develop AI-powered voice, language, and document processing solutions, including → Voice AI Agents using Whisper, Deepgram, AssemblyAI, ElevenLabs, VAPI & Retell AI → Speech-to-Text (STT), Text-to-Speech (TTS) & Natural Language Processing (NLP) → OCR, Document Processing & Information Extraction 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 Building production-ready AI systems requires more than integrating an LLM. It requires thoughtful architecture, reliable engineering, and software that continues to scale as products evolve. ✔ End-to-end solution ownership, from architecture and development through deployment ✔ Clean, maintainable, and well-tested code ✔ Scalable system design focused on performance, reliability, and maintainability ✔ Practical engineering decisions aligned with business goals ✔ Clear communication and direct collaboration throughout the project lifecycle 📩 𝐋𝐞𝐭'𝐬 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 Tell me about your product, current stage, and technical goals, and I'll recommend the best technical approach to move your project forward.