I build production-grade AI agents, RAG systems, and computer vision pipelines that ship on real infrastructure — not just demos. IEEE-published AI engineer (DAELocNet, AIIT 2025), Top Rated with 100% Job Success Score. If you need an LLM app that actually works in production — grounded answers, no hallucinations, controlled cost and latency — or a computer vision model running reliably at scale, I take it from idea to deployed system. What I build for clients: AI Agents & Multi-Agent Systems — autonomous, tool-using agents with LangChain, LangGraph, OpenAI & Groq RAG & LLM Apps — retrieval-augmented chatbots with FAISS vector databases, reranking, and hallucination-resistant answers Fine-Tuning & NLP Pipelines — domain-adapted LLMs, text classification, and AI-generated text detection Computer Vision — real-time object detection & tracking with YOLOv8, CLIP, and OpenCV Fintech & Predictive ML — XGBoost fraud detection, repayment prediction (AUC 0.9852), time-series forecasting Rapid AI MVPs — Streamlit dashboards and end-to-end prototypes that get to value fast Recent wins: Built a Binoculars-style LLM text detection system (Qwen2.5) for an AI content verification client Deployed a fintech repayment prediction model achieving AUC 0.9852 with XGBoost + SageMaker Autopilot Built a multi-agent finance automation system using LangChain + Streamlit Real-time object tracking system processing 30 FPS Reduced prediction errors by 40% for an e-commerce client Why clients trust me: BS in Artificial Intelligence (Air University, Islamabad) IEEE-published researcher — DAELocNet presented at AIIT 2025, Riyadh Top Rated on Upwork with 100% Job Success Score End-to-end ownership: data → model → deployment → clean handoff with documentation Core stack: Python · LangChain · LangGraph · OpenAI · Groq · RAG · FAISS · Vector Databases · Hugging Face · Fine-Tuning (LoRA/QLoRA) · YOLOv8 · CLIP · OpenCV · XGBoost · Time-Series Forecasting · Streamlit · FastAPI · PyTorch · Multi-Agent Systems · AI Integration Building an AI agent, RAG system, LLM app, or computer vision pipeline? Send me your brief — I'll outline the best technical approach and a clear path to production.

𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝: 𝐓𝐨𝐩 𝟏% 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 🥇 Senior Agentic AI Developer with 6+ Years of Experience | Shipped 50+ Role-Critical AI Agent + RAG Chatbots | Conversational AI | Senior AI First Full Stack Developer with Python(FastAPI + React) | Principal AI/ML | GenAI, LLM, Fine-tuning, Cloud(Azure, AWS, GCP) | I'm Samran Elahi, a Senior AI / Machine Learning Engineer who has worked extensively with NLP and Agentic AI. I'm equally skilled in automating custom workflows, developing LLMs, building RAG Powered Chatbots, and designing Machine Learning Models along with fine-tuning and Deploying them on AWS / Azure / GCP, or Runpod. ✅ 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐓𝐚𝐛𝐥𝐞 — 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐰𝐢𝐭𝐡 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ■ Natural Language Processing Expertise ✓ Chatbots and Conversational AI Development ■ AI Agents + RAG Chatbots Development Expertise ✓ Custom AI Agents built with LangChain / LangGraph. ✓ Role-critical MCP Agents for complex task handling. ✓ RAG-powered Chatbots with integrated LLMs (OpenAI, Claude, Mistral.) ✓ Frontend: React, Streamlit, Chainlit | Backend: FastAPI, Django. ✓ Vector DBs: Pinecone, FAISS, Weaviate. ■ Conversational AI with Real-Time Communication Capabilities ✓ Tools: ElevenLabs, Voice.ai, Retell.ai, Vapi integrations. ✓ Real-time API integration for seamless voice interactions. ■ Custom ML Model Development, Integration, and Deployment ✓ Supervised Learning: Regression, Classification. ✓ Unsupervised Learning: Clustering, Dimensionality Reduction, Anomaly Detection. ✓ Hyperparameter Tuning: GridSearch, RandomSearch, Bayesian Optimisation. ✓ Parameter-Efficient Fine-Tuning (PEFT). ✓ Model Deployment: Runpod, AWS, GCP, EC2. ✓ Model & Data Versioning: DVC. ✓ REST API Development: FastAPI, Flask, Django. 📢 Available, let's have a quick chat to go over the scope of your project. Best, Samran Elahi

I build production-grade ML systems and agentic automation infrastructure that transform raw data into real-time decisions, workflows, and execution systems. My work sits at the intersection of: * Machine learning systems (forecasting, prediction, optimization) * Agentic workflows (multi-step automation, decision agents) * Real-time data infrastructure (APIs, pipelines, monitoring systems) The outcome is simple: systems that don’t just analyze data — they act on it. What I Build 1. ML Forecasting & Predictive Systems Production-ready time-series and predictive pipelines: * Demand, revenue, and behavioral forecasting systems * Prophet and deep learning-based models * Automated retraining and versioned inference APIs * Real-time scoring for live production environments 2. Optimization & Decision Engines Turning constraints into executable systems: * MILP-based optimization (routing, allocation, scheduling) * Policy simulation and scenario modeling * Resource allocation and tiering engines * Decision automation tied to live data streams 3. Agentic Automation Systems (LLM + Workflow Agents) Autonomous multi-step systems that execute workflows: * Multi-agent orchestration pipelines * Workflow automation and decision simulation systems * Signal extraction → reasoning → action pipelines * Event-driven agents for monitoring and execution 4. Real-Time Data Infrastructure Production-grade data systems for high velocity environments: * FastAPI-based inference and orchestration layers * Event-driven pipelines (APIs, SFTP, streaming sources) * Time-series databases (TimescaleDB, etc.) * Monitoring, logging, and failure recovery systems 5. Financial & Risk Systems Applied ML for high-stakes decision environments: * Credit risk scoring and financial analytics pipelines * Trading signal generation and backtesting systems * P&L simulation and scenario modeling * Structured decision support systems Selected Production Work Real-Time Telecom Forecasting System Built a forecasting and matching engine processing 30,000+ users with 15-minute refresh cycles on Azure, replacing manual allocation logic with a production ML + API system. Multi-Agent Intelligence System (PulseAgent) Designed a multi-agent workflow system that orchestrates reasoning and execution across data sources for automated decision-making. Decision Intelligence Engine (Deal Intelligence Agent) Built a signal extraction and ranking system that converts raw data into actionable business intelligence using ML + agent workflows. Automated QA & Monitoring System Developed a production monitoring system for validating pipelines, detecting failures, and ensuring system reliability in real time. Credit & Financial Risk Automation System Engineered a financial analytics engine for credit evaluation, ratio modeling, and automated risk scoring How I Work I design systems with production reality in mind: * Every model is deployed behind an API or workflow engine * Every system includes observability and failure handling * Every output is traceable, testable, and reproducible * Every pipeline is built for real operational use, not demos If it doesn’t run reliably in production, it doesn’t ship. Who I Work With * Startups building AI-driven products * Fintech and analytics teams * Companies automating decision workflows * Teams moving from manual analysis → autonomous systems Let’s Work Together If you need systems for: * Forecasting and prediction at scale * Optimization and decision automation * Agentic workflows or AI-driven systems * Real-time ML infrastructure in production I can design and deploy the full system end-to-end.

🚀 Transform Your Business with Generative AI and Intelligent Automation 🚀 Hello, and thank you for visiting my profile! I am a Generative AI Expert and Machine Learning Engineer with over 8 years of experience in developing and deploying state-of-the-art AI solutions. My mission is to empower businesses with cutting-edge technology that drives growth, automates processes, and solves complex problems. Here’s how I can help you: 🌐 Generative AI-Powered Chatbots Design and develop intelligent chatbots using advanced natural language processing (NLP) techniques and generative AI models (GPT, LLaMA, BERT). Integrate chatbots across platforms (Web, Mobile, Social Media, Voice Assistants) to provide a seamless, user-centric experience. Customize conversational flows using frameworks like MS Bot Framework, Power Virtual Agents, and Voiceflow. 📊 Advanced Machine Learning Solutions Develop and optimize machine learning models (including Transformers, Deep Neural Networks, Random Forest, and SVM) to tackle complex business challenges. Implement state-of-the-art Generative AI models (DALL-E, Stable Diffusion, GPT-4) for content creation, customer support, personalized recommendations, and more. Fine-tune pre-trained models for specific business use cases, ensuring top-tier performance. ⚡ AI Automation and Process Optimization Automate workflows using Make.com, N8N, Zapier, Twilio, Tray.io, Pipedream, and Bardeen, minimizing manual efforts and maximizing efficiency. Implement Low-Code/No-Code AI Automation with tools like Bubble.io, Retool, Appsmith, enabling fast and scalable solutions. Deploy Robotic Process Automation (RPA) with tools like UiPath, Blue Prism, and Automation Anywhere to streamline business operations. 🌍 Cloud-Based AI Solutions Deploy and manage AI solutions on cloud platforms, including AWS, Google Cloud, and Azure, ensuring scalability and reliability. Utilize Docker and Kubernetes for containerized deployment, maintaining robust, scalable, and secure AI environments. 📌 My Core Skills Include: Programming: Python, Java, C++, R Machine Learning: TensorFlow, Keras, PyTorch, Scikit-learn, NLTK, OpenCV, NumPy, Pandas, Matplotlib Cloud & Deployment: AWS EC2, Google Cloud, Microsoft Azure, Docker, Flask Automation: Make.com, N8N, Zapier, Twilio, Tray.io, Boomi, MuleSoft, Microsoft Power Automate, Correzoid, Openwhisk, Google Functions, AWS Lambda Voice Agents: Retell AI, Synthflow, Bland AI, Vapi, Voiceflow, ElevenLabs, Dasha RPA: UiPath, Automation Anywhere, Blue Prism, Robomotion 🚀 Ready to Elevate Your Business with AI? Whether you need a powerful generative AI model, a robust chatbot, or end-to-end workflow automation, I have the expertise to deliver. Let's connect and transform your vision into a reality. ✅ Contact me now to get started!

I hold an M.S. in Computer Science from Karazin National University, with a strong foundation in mathematical analysis and linear algebra, which I apply effectively to solve complex challenges in Machine Learning and Computer Vision. With 6 years of extensive commercial experience, I am an AI Engineer with a proven track record of leading development efforts and contributing to all stages of the product lifecycle, aligning technical advancements with business objectives. My expertise covers all major areas of Computer Vision, including image classification, object detection and tracking, image segmentation, and pose estimation. I have delivered impactful, end-to-end solutions in various fields, such as: - Video-driven Sports Game Action Analysis - Satellite Image Processing - AI-powered Smart Parking Systems - Real-time Video Surveillance Systems I specialize in developing custom neural network architectures for Computer Vision applications, leveraging frameworks like TensorFlow, Keras, and PyTorch, as well as tools like OpenCV, MoviePy, and FFmpeg for efficient image and video processing. My programming expertise spans Python and C++, and I have experience building CV-powered web applications using JavaScript. I have successfully contributed to projects in areas such as Sports Analytics, Parking Surveillance Systems, Satellite Image Processing, and Manufacturing & Analytics for the Beauty and Healthcare industries. Proficient in image classification, object detection, action recognition, and more, I leverage advanced neural networks to deliver effective solutions. In addition to my technical skills, I possess a strong foundation in Discrete Mathematics, Statistics, and Differential Equations, with specialized knowledge in digital signal processing, time-series analysis, and unsupervised learning. While working effectively in team environments, I also understand the importance of business logic and strategic goals. I’ve helped businesses and enterprises achieve their goals, drive financial growth, and automate processes to generate significant gains.

AI Engineer with 6+ years of experience. Bringing hands-on experience in implementing Machine Learning and Data Science real-world applications. ✓ Certified AWS ML engineer ✓ Certified AI engineer ✓ Certified Data scientist ✓ Certified Deep learning engineer. I have extensive experience with the following tools and technologies: ✓ Amazon Web Services (AWS): EC2, S3,Lambda Functions, SageMaker ✓ Coding skills in Python (scripting, Jupyter, google Colab) ✓ Python data analytics libraries (Scikit-learn, pandas, NumPy, Matplotlib) ✓ Computer Vision tools and packages (MM Detection, OpenCV) ✓ Natural Language Processing tools and packages (spacy, nltk) ✓ Deep learning libraries and toolboxes (TensorFlow, Keras, PyTorch)

With 11 years of total industry experience I have contributed and managed projects related to Computer vision and Machine learning applications as listed below: 1.) Object detection: i.) Counting application(YOLO algorithm) ii.) Location mapping of person for Intrusion detection and same for vehicles for Vehicle speed detection 2.) Image segmentation: i.) Temperature detection from stickers used by healthcare professionals. ii.) Blood smear and Radiology images analysis for malaria type and lung health detection respectively. 3.) Inventory tracking and detecting pick/place activity using camera+RaspberryPI5 based solution. 4.) Demand forecasting for production planning in Agricultural & Dairy sector using Time series forecasting as a part of Inventory & Resources planning. 5.) Data extraction from PDFs', OCR for document data extraction. The business areas in which the projects were implemented are Healthcare, FMCG, Dairy & Heavy engineering. I am proficient in handling projects independently and completing with desired accuracy . My range of expertise are: 1.) Algorithms for Data Science: Investment portfolio optimization & Trading signals(buy&sell) from backtesting. 2.) Computer vision: Image processing, Segmentation, Object detection, Classification using tensorflow/pytorch framework. 3.) Data Analysis: Data aggregation, metrics evaluation and building insights from .csv/.xlsx data using pandas library. 4.) Database management: SQL & MongoDB 5.) Machine learning models: Decision trees, Regression based methods like ARIMA and Logistic Regression.

Senior Computer Vision Research Engineer & AI Specialist with extensive experience in designing and deploying advanced AI models for industrial and biomedical applications. OCR Pipeline for Automated Optical Inspection Developed a high-accuracy OCR system to extract textual information from electronic component images, achieving 95% accuracy and significantly improving manufacturing inspection workflows. Custom Segmentation and Defect Detection Models. Engineered YOLO-based models that reduced segmentation runtime from 35 ms to 3 ms, enhancing real-time defect detection in surface mount technology. Natural Language Processing for Manufacturing Data Created NLP methods to accurately extract Manufacturer Part Numbers (MPN) from Approved Vendor Lists (AVL) and catalog descriptions, automating data processing pipelines. PUResNet (V1.0 & V2.0): Protein-Ligand Binding Site Prediction Designed and implemented deep residual UNet architectures utilizing sparse Minkowski tensors for efficient large-scale protein structure analysis, advancing computational drug discovery. Post-Translational Modification (PTM) Site Prediction via Protein Language Models Fine-tuned GPT-based protein language models using prompt-based unsupervised learning to predict PTM sites and analyze mutation effects near functional regions. NanoBinder: Nanobody-Antigen Binding Prediction Tool Developed an interpretable machine learning pipeline integrating Rosetta energy scores, fully automated data extraction, and web deployment for robust nanobody binding affinity prediction. Custom Autoencoder Models for Image Clarity Assessment Designed tailored autoencoder architectures to evaluate and enhance image clarity of electronic components in manufacturing inspection systems. Web Application Deployment with Django Built scalable backend services to host AI models, enabling public accessibility and integration with client workflows. Technical Skills & Tools: Python, PyTorch, TensorFlow, Huggingface Transformers, YOLO, OpenCV, Docker, Slurm HPC, Git, Pymol, AutoDock Vina, Gromacs, Schrodinger, openMM. Academic Excellence: Ph.D. candidate in Integrated Energy AI with multiple publications in top-tier journals such as Nature Communications, Journal of Cheminformatics, and Computational and Structural Biotechnology Journal.

I build AI solutions for Computer Vision and NLP. My experience covers object detection (YOLO), image segmentation, classification, and text-based applications such as RAG pipelines and large language model fine-tuning. I focus on building models that are both accurate and efficient, with practical experience in preprocessing, model training, evaluation (precision/recall, mAP, F1), and deployment using Python, PyTorch, TensorFlow, Hugging Face, and OpenCV. Whether you need to process images, analyze text, or integrate AI into your workflow, I can help you deliver a reliable solution tailored to your data.

I help startups, agencies, and data teams build practical AI and machine learning solutions that solve real business problems — not just demos. I specialize in LLM apps, RAG systems, AI chatbots, NLP pipelines, computer vision models, forecasting systems, and geospatial analytics. I can help you turn documents, spreadsheets, images, maps, and business data into intelligent tools, dashboards, and automation workflows. Why clients work with me: * Top Rated Upwork freelancer * 100% Job Success Score * 5.0 client rating * 650+ Upwork hours * Experience across AI, ML, NLP, LLMs, computer vision, forecasting, FMCG analytics, and geospatial data Services I can help with: * RAG chatbot development using PDFs, CSVs, Excel files, and databases * LLM apps using OpenAI, Claude, Gemini, LangChain, LlamaIndex, and vector databases * NLP tasks such as classification, extraction, summarization, and semantic search * Computer vision model development and image analysis * Sales forecasting, demand planning, and FMCG analytics * Geospatial clustering, routing, territory planning, and map-based analytics * Python dashboards, data pipelines, and automation tools My focus is simple: understand your business problem, build a reliable solution, and communicate clearly throughout the project. Send me a message with your data, idea, or workflow, and I’ll suggest the best technical approach.