AI/ML Engineer & Full-Stack Technical Lead

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Sammar Abbas Nasir

Irvine, CA +1-949-***-**** ***********@*****.***

LinkedIn Profile

PROFESSIONAL SUMMARY

AI/ML Engineer and Full Stack Technical Lead with 8+ years of experience designing, building, and deploying enterprise- scale software, AI automation platforms, and cloud-native systems. Specialized in Generative AI, Agentic AI, RAG pipelines, multimodal document intelligence, forecasting, optimization, and real-time conversational AI solutions.

Hands-on experience with OpenAI, Azure OpenAI, LangChain, LangGraph, Hugging Face, FastAPI, Python, .NET Core, Azure Functions, Cosmos DB, Azure AI Search, Redis, and Azure DevOps. Proven ability to transform complex business workflows into production-ready AI systems, including automated load creation, invoice validation, document classification, signature detection, voice AI, and predictive supply chain intelligence. Strong background in building scalable event-driven architectures using queues, serverless functions, microservices, APIs, caching, observability, and CI/CD pipelines.

Experienced in developing AI-powered platforms that reduce manual processing effort, improve decision-making, increase operational efficiency, and deliver measurable business impact across logistics, fleet management, e-commerce, and supply chain domains.

Skilled in leading cross-functional teams, mentoring engineers, driving Agile delivery, collaborating with stakeholders, and translating product requirements into reliable, scalable technical solutions. Combines deep full-stack engineering expertise with modern AI architecture, cloud deployment, and production system design to deliver intelligent, high-impact enterprise applications. TECHNICAL SKILLS

Artificial Intelligence & Machine Learning:Generative AI, Agentic AI, Large Language Models (LLMs), OpenAI GPT, Azure OpenAI, LangChain, LangGraph, Hugging Face Transformers, Retrieval-Augmented Generation (RAG), Prompt Engineering, Structured Outputs, Function Calling, Model Context Protocol (MCP), Multi-Agent Systems, Semantic Search, Embeddings, Vector Search, LLM Evaluation, AI Guardrails, Human-in-the-Loop (HITL)

Machine Learning & Data Science: Python, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, H2O AutoML, Facebook Prophet, PySpark, Feature Engineering, Time Series Forecasting, Predictive Analytics, Recommendation Systems, Optimization Models, Anomaly Detection

MLOps & AI Operations: MLflow, Model Monitoring, Feature Store (Feast), Drift Detection, Active Learning, Prompt Versioning, Model Versioning, CI/CD for ML, A/B Testing, Observability, Performance Monitoring

Voice AI & Conversational Systems: LiveKit, Speech-to-Text (STT), Text-to-Speech (TTS), FastAPI, Real-Time AI Pipelines, SignalR, Redis Pub/Sub

Cloud & Azure: Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Functions, Azure App Services, Azure Storage, Azure Service Bus, Azure Cosmos DB, Azure Data Factory, Azure Purview, Azure Kubernetes Service (AKS), Azure Container Instances (ACI), Azure DevOps

Backend & APIs: C#, .NET Core, ASP.NET Core, Python, FastAPI, Flask, REST APIs, GraphQL, Microservices, Event-Driven Architecture, Distributed Systems, Redis, DuckDB

Vector Databases & Knowledge Systems: Pinecone, Redis Vector, FAISS, ChromaDB, Azure AI Search

Integrations: Amazon Seller Central, Shopify, eBay, ShipStation, Uber Freight, Loadsmart, EDI APIs, ERP/WMS/TMS Integrations, Payment Gateway Integrations

Monitoring & Observability: Structured Logging, OpenTelemetry, Grafana, Datadog, Distributed Tracing, Metrics Collection, Performance Tuning

Frontend Technologies: React, Next.js, TypeScript, JavaScript, Razor Pages, jQuery, HTML5, CSS3

Reporting & Analytics: Power BI, SSRS, Crystal Reports, Google Analytics, Criteo

Methodologies: Agile, Scrum, Test-Driven Development (TDD), System Design, Software Architecture, Technical Leadership

EDUCATION

Bachelor’s degree in computer science

University of Sargodha

PROFESSIONAL EXPERIENCE

AI/ML Engineer, Senior Software Engineer & Team Lead TEKHQS Irvine, CA

2016 – Present

AI/ML Engineer — XDemand (AI-Powered Supply Chain Intelligence Platform) Python Azure Functions Azure Storage Azure Queues Cosmos DB MongoDB Azure OpenAI LangChain LangGraph

OpenAI GPT Facebook Prophet RAG Pinecone ChromaDB Redis Docker Azure Container Instances (ACI) Azure DevOps React Next.js TypeScript Node.js

Designed and developed an AI-powered demand forecasting and inventory optimization platform on Microsoft Azure, enabling e-commerce clients to reduce stockouts by 30–40% and recover $50K–100K in monthly revenue.

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Developed multi-agent AI workflows using LangGraph and LangChain to automate demand forecasting, inventory planning, dynamic pricing, and AI-assisted business decision-making.

Built Retrieval-Augmented Generation (RAG) pipelines using Azure OpenAI, OpenAI embeddings, Pinecone, Redis Vector, and ChromaDB to enable semantic search, contextual insights, and natural-language business intelligence.

Developed production-grade forecasting models using Facebook Prophet with seasonal decomposition, holiday modeling, and automated retraining, achieving 15–25% MAPE across millions of SKU sales records.

Engineered AI-driven inventory optimization algorithms to detect stockout and overstock risks, generate intelligent replenishment recommendations, and simulate revenue impacts.

Developed machine learning–based dynamic pricing models using elasticity analysis and seasonal demand forecasting to improve pricing decisions and maximize profitability.

Built an interactive React, Next.js, and Node.js dashboard featuring conversational analytics, predictive insights, KPI visualization, and AI-powered business exploration.

Optimized enterprise data pipelines using Python, Pandas, PyODBC, and Redis caching, achieving 90%+ cache hit rates and dashboard response times under 3 seconds.

Deployed Dockerized services on Azure Container Instances (ACI) using Azure DevOps CI/CD pipelines and Azure Redis Cache, delivering 99.5% production availability.

Collaborated with product managers, data teams, and engineering stakeholders to deliver scalable AI solutions and implement future enhancements, including automated retraining pipelines and Azure Kubernetes Service (AKS) migration.

Technical Lead & AI/ML Engineer — LoadStop (AI-Powered Fleet Management Platform) ASP.NET Core .NET Azure OpenAI Azure AI Search Azure Functions Azure Service Bus Cosmos DB Redis SignalR

FastAPI LiveKit Speech-to-Text (STT) Text-to-Speech (TTS) Azure DevOps JavaScript Razor Pages

Led the design and development of LoadStop, a cloud-native, AI-powered fleet management platform that streamlines dispatching, compliance, document processing, and real-time fleet operations.

Designed and implemented AI-powered document intelligence solutions using Azure OpenAI to automate load creation, invoice validation, document classification, signature detection, and document quality validation, reducing manual processing effort by 85%+.

Built multimodal AI pipelines capable of extracting structured information from logistics documents, validating results, and integrating seamlessly into enterprise workflows.

Developed Retrieval-Augmented Generation (RAG) workflows and AI-assisted search capabilities using Azure AI Search to provide contextual insights and natural-language access to operational data.

Integrated LiveKit, Speech-to-Text (STT), and Text-to-Speech (TTS) technologies to build low-latency, real-time conversational AI experiences for logistics operations.

Developed FastAPI-based AI services to power LLM reasoning, intelligent workflow orchestration, and dynamic data retrieval for AI-driven user interactions.

Designed scalable event-driven architectures using Azure Functions, Azure Queues, Azure Service Bus, and distributed microservices to enable reliable, fault-tolerant processing of high-volume workloads.

Integrated third-party logistics platforms including Uber Freight, Loadsmart, Truckstop, ELD providers, and trailer tracking systems to deliver seamless, real-time synchronization across fleet operations.

Implemented real-time communication using SignalR and Redis, significantly improving system responsiveness and live operational visibility.

Optimized backend performance through Redis caching, SQL query optimization, and stored procedures, improving application performance by 30%.

Designed CI/CD pipelines and managed production deployments using Azure DevOps, enabling reliable, zero- downtime releases across multiple environments.

Mentored engineers, conducted technical design discussions and code reviews, collaborated with product owners and stakeholders, and drove Agile delivery to ensure scalable, high-quality software solutions. Senior Software Engineer — Logistic Solutions (Supply Chain Platform)

.NET Core ASP.NET Web API React Azure App Services Azure Functions Azure Queues SQL Server SSRS Azure DevOps

Designed and developed a robust multi-channel supply chain platform integrating Order Management (OMS) and Warehouse Management (WMS) features for platforms like Shopify, Amazon, eBay, and ShipStation

Built and optimized scalable APIs using ASP.NET Web API and Entity Framework to handle high-volume order intake, inventory synchronization, and fulfillment workflows

Created dynamic, responsive Single Page Applications (SPA) using React, improving user experience across inventory, shipping, and dashboard modules

Developed deep, bidirectional integrations with Shopify, Amazon Seller Central, eBay, and ShipStation APIs to enable real-time syncing of orders, stock levels, and shipment statuses

Implemented Azure Functions and Azure Queues for asynchronous, event-driven handling of order events, background processing, and third-party communication

Tuned SQL Server performance through query optimization, indexing strategies, and stored procedures, improving response times by over 20%

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Designed and delivered complex SSRS reports to support inventory forecasting, fulfillment analysis, and executive decision-making

Deployed application components using Azure DevOps, including CI/CD pipelines with rollback capabilities and environment-specific configurations

Actively participated in Agile ceremonies including sprint planning, backlog refinement, daily standups, and demo sessions with stakeholders

Collaborated with QA and product teams to refine feature requirements and ensure high-quality, production-ready releases

Full Stack Developer — Jewelry Exchange (Golden West Diamond Corporation)

.NET MVC ASP.NET Web API SQL Server AngularJS PayFlow Crystal Reports Google Analytics Criteo Email Marketing Tools

Engineered a high-performance e-commerce platform for the Jewelry Exchange, enabling high-volume product browsing, secure transactions, and customer engagement across web and mobile

Designed and implemented scalable backend services using ASP.NET MVC and Web API to support product catalogs, user accounts, order processing, and real-time availability

Integrated PayFlow payment gateway for seamless and secure checkout experiences, along with automated email campaign features to increase sales conversion

Implemented marketing and analytics tools such as Google Analytics and Criteo for behavior tracking, ad retargeting, and funnel optimization

Collaborated closely with UI/UX teams and business stakeholders to prioritize features, resolve production issues, and enhance overall customer experience

Optimized backend performance and SEO strategies, improving load times, search visibility, and scalability to support future traffic spikes

Participated in Agile ceremonies including sprint planning, backlog refinement, QA coordination, and client reviews to ensure high-quality, on-time releases

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