AI-powered SaaS for founders and teams: LLM and RAG features built into full-stack products where they drive real ROI, not bolted-on demos. Python/React, MVP to enterprise, 100% job success on Upwork. I act as your fractional engineering lead for AI SaaS, finding where AI actually pays off and shipping it with senior depth. What I deliver: - AI-powered SaaS: LLM features, RAG pipelines, and memory workflows integrated into Python/Django/FastAPI backends. - Full-stack product engineering: React/Next.js front ends, multi-tenant architecture, APIs, and analytics dashboards. - Data and automation: ETL pipelines and integrations that feed clean data into your AI. - Cloud-native, secure deployments on AWS and GCP. Selected work: - DignifyX: an AI sales-training platform that scores live conversations and returns structured, actionable feedback. - IAB Advisor: AI built into a financial-advisory platform with subscriptions, multi-language, and real-time updates. - Property Management SaaS: a multi-tenant B2B platform built for scale. I lead delivery with a vetted CodeFulcrum team (Top Rated Plus) behind me, so it holds past a single contractor. Stack: Python, Django, FastAPI, LangChain, RAG, Vector DBs, OpenAI, Claude, React, Next.js, TypeScript, Node.js, PostgreSQL, AWS, GCP. Tell me what you're building and I'll come back with how I'd architect it, no charge.

I’m a Senior Python Developer specializing in Python scripting, backend development, automation, APIs, and scalable application development. I help businesses turn complex or repetitive processes into reliable, maintainable, and automated Python solutions. Alongside Python engineering, I work with AI/LLMs when they add real value to the product or workflow. 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱 𝗙𝗼𝗿 𝗬𝗼𝘂 * Custom Python applications, scripts, and business automation tools * Scalable backend systems using Django, FastAPI, and Flask * REST APIs, third-party API integrations, webhooks, and microservices * Data processing, web scraping, ETL workflows, and automation pipelines * Database-driven applications using PostgreSQL, MySQL, MongoDB, and Redis * Cloud-ready applications, deployments, monitoring, and infrastructure on AWS/GCP * AI-powered automation, LLM integrations, RAG systems, and intelligent workflows when required 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 * Python: Python 3.11 / 3.12 / 3.13, Django, FastAPI, Flask, Celery * AI/LLMs: OpenAI GPT-5.6 / GPT-4.1, Claude Sonnet 5, Gemini 3.7, Llama 4 * AI Frameworks: LangChain, LangGraph, Haystack, Transformers, Pydantic AI * Databases: PostgreSQL, MySQL, MongoDB, Redis, Supabase * Automation: n8n, Zapier, Make, Airflow, Python-based automation * APIs & Frontend: REST APIs, GraphQL, React, Next.js, Webhooks * Cloud & DevOps: AWS, GCP, Docker, Kubernetes, CI/CD, Nginx * AI/Data: RAG, Embeddings, Vector DBs, OpenAI API, Anthropic API, Gemini API, Pandas, NumPy 𝗣𝗿𝗼𝘃𝗲𝗻 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 * Delivered successful Python applications and automation solutions for real business requirements. * Reduced repetitive manual work by converting operational processes into automated workflows. * Built reliable REST APIs and backend services designed for production use and future scaling. * Improved application performance through code optimization, database tuning, and refactoring. * Integrated multiple third-party platforms, APIs, databases, and business systems into unified workflows. * Developed AI-powered features that improve document processing, information retrieval, and business automation. * Delivered projects with a focus on stability, maintainability, security, and measurable business value. 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 I first understand the business requirement and existing workflow before deciding what should be built or automated. I focus on clean Python architecture, practical implementation, testing, and reliable deployment rather than unnecessary complexity. I also keep communication clear throughout development so the solution remains aligned with the actual business need. 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 𝗙𝗼𝗿 * Senior Python development and long-term backend engineering * Python scripting and automation of repetitive business processes * Django, FastAPI, and Flask application development * REST API development and complex third-party integrations * Web scraping, data extraction, processing, and automation * AI/LLM integration into existing Python applications and workflows * Debugging, optimization, refactoring, and improving existing Python codebases * End-to-end development from requirements → development → testing → deployment → support

With 14 years of software development experience, I specialize in Artificial Intelligence, Large Language Models (LLMs), Machine Learning (ML), and AI-powered cloud solutions. My expertise spans across LLM integration, Natural Language Processing (NLP), AI-driven automation, Recommendation Systems, OCR technologies, designing and optimizing scalable high-performance backend systems using Java (Spring Boot, Spring Batch), Python (Flask, FastAPI), and NGINX while ensuring robust cloud infrastructure on AWS. AI & Machine Learning Expertise - LLMs & NLP – OpenAI GPT, Anthropic Claude Sonnet, Google Vertex AI, Hugging Face BERT, Transformer Models - Conversational AI – Chatbots, Virtual Assistants, AI-driven customer support - Text Analytics & Search – Named Entity Recognition (NER), Text Summarization, Sentiment Analysis, Semantic Search - Recommendation Systems – AI-driven industry classification & harmonization of company codes (NAICS, SIC) - OCR & Document AI – AI-powered text extraction from handwritten notes & scanned documents using AWS Textract - Data Science & Deep Learning – Feature Engineering, Model Fine-tuning, Predictive Analytics - AI Automation & Optimization – Intelligent Process Automation (IPA), AI-based Data Processing Pipelines Programming & Tech Stack - Python – TensorFlow, PyTorch, Scikit-learn, FastAPI, OpenCV, Numpy, Pandas - Java – Spring Boot, Microservices, RESTful APIs, Apache Spark - ML Frameworks & Libraries – Transformers, LangChain - Vector Databases & Embeddings – PGVector, Pinecone - Data Engineering – Data Preprocessing, Feature Engineering, ETL Pipelines AWS Cloud & AI Services - AWS Lambda – Serverless AI automation - AWS SageMaker – AI model training, fine-tuning, and deployment - Amazon DynamoDB & RDS – High-performance NoSQL & SQL solutions - Amazon Bedrock – LLM deployment & inference at scale - Vector Search & Embeddings – Knowledge Graphs, Context-Aware AI - AWS Textract – AI-powered OCR solutions for structured & unstructured data Backend & API Development Expertise - Java & Spring Frameworks – Spring Boot, Spring Batch, Microservices, REST APIs - Python Web Frameworks – Flask, FastAPI, API Development & Optimization - NGINX – High-performance API routing, Load balancing, and Reverse Proxy setup - Scalable & Secure API Development – GraphQL, RESTful APIs, Authentication, Role-Based Access Control (RBAC) AWS Cloud & Infrastructure as Code (IaC) - AWS VPC – Secure networking, private and public subnet management - AWS Lambda – Serverless computing for high-performance applications - AWS EC2 & Elastic Load Balancing (ELB) – Scalable compute instances & optimized traffic distribution - AWS Aurora & ElastiCache – High-availability databases & caching for optimized performance - AWS EFS – Scalable storage solutions for distributed applications - AWS API Gateway & Cognito – Secure API management & user authentication - Infrastructure as Code (IaC) – Terraform, AWS CloudFormation for automated deployment & scalability Database & Big Data Expertise - Relational Databases: MySQL, PostgreSQL (including Pgvector for vector search & AI applications) - NoSQL & Search Databases: DynamoDB, OpenSearch (formerly Elasticsearch) - Big Data Processing: Hands-on experience with large-scale data processing, optimization, and querying Why Work With Me? - AI-powered automation – Automating workflows, AI-driven decision-making - LLM & NLP Expertise – From chatbots to AI-based text analysis & search engines - End-to-End AI Development – Data preprocessing, model selection, fine-tuning, and deployment - Cloud-Optimized Solutions – Scalable AI architectures using AWS and vector databases - AI-Driven Recommendation Engines – Industry-specific AI models for classification & personalization Let's collaborate to build cutting-edge AI solutions that transform businesses! Contact me today to discuss your next AI project!

Are you looking for more than just a data entry specialist? I am a PhD-qualified (Monash University, 2025) Physicist with a background in high-stakes research, synchrotron beamline operations, and advanced medical imaging. I specialise in bridging the gap between raw, complex datasets and the clear technical communication required for industry success. What I bring to your project: Expert Data Analysis: Advanced proficiency in Python (Pandas, NumPy, SciPy) and statistical modelling. I don't just run scripts; I understand the underlying physics and logic of your data. Imaging & Signal Processing: Extensive experience in C++/Python image processing, specifically for medical and X-ray applications. Scientific Communication: As a published researcher in Q1 journals (Optics Express, Physics in Medicine & Biology), I can draft whitepapers, technical documentation, and AI training datasets that are accurate and professional. Problem Solving: From developing remote-friendly tutorials to optimising synchrotron experiments, I thrive on finding efficient solutions to "impossible" technical hurdles. Services Offered: ✅ Custom Python Data Pipelines & Automation ✅ Scientific & Technical Writing / Peer-Review Prep ✅ Statistical Modeling & Quantitative Analysis ✅ Medical Imaging Data Processing Let’s collaborate to make your data work harder for you. Click the "Invite" button, and let's discuss how my research background can solve your current challenge.

TOP RATED ELITE Freelancer on Upwork with 6+ years of experience building scalable web applications, AI-powered platforms, automation systems, and cloud-native solutions for startups and enterprises. I specialize in combining AI, backend engineering, data workflows, and modern frontend technologies to develop reliable, production-ready, and business-driven software solutions. I help businesses automate workflows, build intelligent AI systems, develop scalable SaaS platforms, and launch high-performance applications faster with clean architecture and performance-focused development. What I Bring to Your Project - End-to-end product development from architecture to deployment - AI-powered applications and intelligent automation systems - Scalable backend APIs and microservices - Modern, responsive frontend applications - Data engineering, ETL pipelines, and workflow automation - Cloud deployment, DevOps, and infrastructure optimization - Clean, maintainable, production-ready code - Fast communication and reliable delivery Core Expertise: 1. Python Backend Development - FastAPI, Django, Flask - REST APIs & Webhooks - Microservices Architecture - Authentication & Secure Backend Systems - API Integrations & Third-Party Services - Automation Scripts & Backend Optimization - Scalable System Design 2. Data Engineering & Data Processing - ETL Pipelines & Data Automation - Data Processing & Transformation - Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS) - PostgreSQL, MongoDB, DynamoDB - Workflow Automation & Data Synchronization - Intelligent Document Processing - Semantic Retrieval Systems 3. Front-End Development - React.js, Next.js, Vue.js - TypeScript & JavaScript (ES6+) - Responsive UI/UX Development - Frontend Performance Optimization - API Integration & State Management 4. AI Engineering & Generative AI - OpenAI, GPT-4, Claude, Gemini, LLaMA, Mistral - AI Agents & Autonomous Workflows - LangChain, LangGraph, AutoGen - Conversational AI & AI Chatbots - RAG (Retrieval-Augmented Generation) - Semantic Search & Vector Databases - AI Automation & Intelligent Workflows 5. AI SaaS Development: - RAG (Retrieval-Augmented Generation) - AI Voice Agents & Real-time AI Systems - Semantic Search & Vector Databases - AI Automation & Intelligent Workflows - Text Processing, Summarization & Data Extraction 6. Cloud & DevOps - AWS (EC2, Lambda, S3, CloudFront, DynamoDB) - Docker & CI/CD Pipelines - Serverless Applications - Deployment Automation - Scalable Cloud Architecture AI Tools & Technologies - Vector Databases: Pinecone, ChromaDB, Weaviate, FAISS - AI & LLMs: OpenAI, GPT-4, Claude, Gemini, LLaMA, Mistral - AI Frameworks: LangChain, LangGraph, AutoGen, PyTorch, TensorFlow - Automation: n8n, Make, Zapier, Airtable, Notion - Voice AI: Twilio, Deepgram, ElevenLabs, VAPI, Cartesia I focus on building scalable, AI-driven, and enterprise-grade solutions that create measurable business impact. I value clean architecture, performance optimization, scalability, and long-term maintainability in every project. If you are looking for a developer who understands both engineering and business requirements and can deliver reliable, scalable, and AI-powered solutions, I would be happy to help bring your project to life.

I am Naresh, co-founder of Amenity Technologies, a company that specializes in assisting companies with AI/ML and Data Science & Analytics. I provide end-to-end AI consultancy. I'm a senior computer vision and machine learning engineer with vast experience in full-stack development, AR/VR, and robotics. with more than 8.5+ years of expertise working with businesses to produce creative initiatives that will bring value to their projects based on innovation. The following is a list of the technologies I employ daily when I code: ✅ N8N automation for restaurants calling bot, voice calling bot for Real Estate clients, sales team training voice bot. ✅ AI Agents: Implemented Agentic workflow with LLMs, SLMs, RAGs, Agentic RAG, LangFuse. ✅ LLMs: AI based Marketing Journey Crerator, Document Parsing, FAQ bot, RAG systems with Open AI and without Open AI also on our own could. Have used LLMs like DeepSeek, LAMA, Minstrel, Hugging Face etc. ✅ Fullstack: Python, C++, Django, Flask, JS, React, NodeJS, Typescript, Docker, Kubernetes ✅ ML/DL: Mediapipe, Pytorch/Keras, Transformers, RasaNLP, SparkML, SparkNLP, LGBM, and many others ✅ Computer Vision: OpenCV, Open3D, PCL, VisualSLAM, OpenMVG, FFMPEG, and more ✅ Cloud solutions: Cloud Compute, Vertex AI, Cloud SQL, Cloud Functions, AWS ✅ We have created Algo trading bot for Indian stock market. The cases I work with: ✅ Machine Learning & AI: - Algorithms like KNN, K-MEAN, DBSCAN, MEAN SHIFT - Data cleaning, filling in missing values & selecting the best features - Prediction models which use logistic & linear regression, Decision Tree, Random Forest, Naive Bayes, SVM - Graphical analysis via matplotlib ✅ Deep Learning & AI: - Image Classification via CNN, GoogLeNet, VGGNet, ResNet - Object Detection via F-RCNN, YOLO, SSD, R-FCN - Object tracking via SAE and CNN, FCNT, MDNET - Semantic Segmentation via DeepLab, RefineNet - Instance Segmentation via Mask RCNN - 3D Object Segmentation and Detection - 3D Reconstruction ✅ Data Science & Analytics: -Data wrangling -Data Wrangling via Pandas, NumPy, Scikit-learn -Data Visualization via Matplotlib, Seaborn, Plotly -Statistical Analysis via SciPy, Statsmodels, PyMC3 -Machine learning -Machine Learning via Scikit-learn, TensorFlow, PyTorch -Natural language processing -Natural Language Processing via NLTK, SpaCy, Gensim -Recommender system -Recommender Systems via Surprise, LightFM, Implicit -Big data -Big Data via Spark, Hadoop, Dask ✅ NLP & AI: - Sentiment Analysis - Sentence segmentation - Named Entity Recognition - Auto punctuation - Converting unstructured data into structured data - POS tagging ✅ IoT & Cloud: - Lambda in AWS, Alexa Skill Development - Raspberry Pi, Nvidia Jetson Nano, Arduino, Banana Pi, Intel Movidius - Android app for IoT and cloud - Custom Google Assistant and Alexa - Smart Home Shoot me a message if you got an idea, I am here to bring it to life!

Transforming complex data and novel research concepts into production-ready AI solutions. With over 8 years of experience at the intersection of AI research and enterprise-level engineering, I specialize in tackling challenges that require more than off-the-shelf solutions. I architect and build robust, scalable systems that turn raw data—from satellite feeds to real-time video—into actionable intelligence. Here's What I Build: 🛰️ Advanced Geospatial & Vision Systems: I develop end-to-end computer vision pipelines for complex environments. My experience includes: • Smart City Solutions: Building traffic monitoring and management systems using real-time object detection and tracking (as demonstrated in the Urban Guard project). • 3D Mapping & LiDAR Processing: Creating high-precision 3D models from LiDAR data for vehicle and drone tracking (showcased in the LiDARView system). • Automated Sports Analytics: Designing systems to track player and ball movements for real-time statistical analysis (like the Trackzella project). 💡 Custom Data & Annotation Platforms: I understand that great AI starts with great data. I build the foundational tools necessary for high-performance models: • Synthetic Data Generation: Engineering platforms to create diverse, realistic datasets for robust model training (proven with the Imagate platform). • Multi-Format Annotation: Developing collaborative tools for labeling images, video, and text to power specialized AI models (like the Anna annotation platform). ☁️ Scalable MLOps & Deployment: A model is only valuable when it's in production. I ensure your AI solutions are reliable and efficient using modern DevOps practices, including containerization (Docker, Kubernetes) and deployment across major cloud platforms (AWS, Azure, GCP). Key Technology Stack: • Languages & Frameworks: Python, PyTorch, TensorFlow, OpenCV • MLOps & Cloud: Docker, Kubernetes, AWS (SageMaker, S3), GCP (Vertex AI), Azure • Data & CV: LiDAR, Satellite Imagery Processing, Pandas, NumPy, Scikit-learn Are you looking to solve a complex R&D problem or build a first-of-its-kind AI application? Let's connect for a brief consultation to discuss your vision.

I’m a Mathematics & Computing (Integrated M.Sc.) graduate(CGPA- 9.67) from IIT Kharagpur with professional experience in machine learning, quantitative research, data science, and software engineering. I specialize in building mathematically rigorous, data-driven systems that move cleanly from research to production. My work sits at the intersection of advanced mathematics, ML/AI, and real-world engineering—allowing me to not only design sophisticated models, but also validate, optimize, and deploy them reliably in production environments. 🔹 What I Do Machine Learning & Data Science Predictive modeling, feature engineering, and statistical learning Time-series analysis, forecasting, and model validation ML pipelines in Python (NumPy, Pandas, Scikit-Learn, PyTorch) Quantitative Research & Finance Systematic trading strategy design and backtesting Alpha research: mean reversion, momentum, statistical arbitrage Portfolio optimization using Black-Litterman, Glasso, meta-heuristics Risk modeling, Sharpe optimization, drawdown control Reinforcement Learning & Optimization RL-based decision systems (DQN + LSTM) Meta-heuristic optimization (PSO, Simulated Annealing) ML-driven asset allocation and strategy optimization Software & Backend Engineering Production-grade Python and Java development Backend services with strong testing, CI/CD, and reliability guarantees Clean, modular, well-documented, performance-optimized code 🔹 Professional Experience Development Engineer — Standard Chartered GBS (Full-Time) Built secure, high-quality backend services for financial platforms Migrated large codebases from Java 8 → Java 17, improving performance and maintainability Increased automated test coverage to ~60% across multiple repositories through robust unit and integration testing Brain Research Consultant — WorldQuant Designed and optimized 30+ alpha strategies, achieving Sharpe ratios up to 3.0 Controlled pairwise correlation and improved robustness of signals Focused on Sharpe ratio, ROE, and risk-adjusted performance Quantitative Researcher — Indxx Private Limited Built ML-driven portfolio optimization frameworks Combined Particle Swarm Optimization and Simulated Annealing Improved portfolio Sharpe by 10% and reduced risk metrics by 12% Mathematics Expert — Micro1 (Freelance) Designed high-difficulty, original mathematical problems Created Project Euler–style challenges with competition-grade rigor 🔹 Selected Client Engagements (Upwork & Contract Work) Quantitative Validation & Automation Architect — Æthux (Atlas Project) Architected a production-grade validation, explainability, and CI/CD framework for quantitative investment models Built deterministic test harnesses for Black-Litterman and Monte Carlo engines Implemented model explainability (SHAP/LIME), drift detection, and automated evidence pipelines Delivered an auditable, compliance-ready analytics stack used for production decision-making Macro Economist — Inverse Financial Model & TAM Study Developed an inverse financial model for a novel digital marketplace Conducted a comprehensive Total Addressable Market (TAM) analysis Co-authored a white paper detailing economic incentives and market dynamics (Details shared within NDA constraints.) 🔹 Research & Technical Projects Neural Black-Litterman Model (Master’s Thesis) Integrated LSTM-based return forecasting with Black-Litterman allocation, achieving 25.3% annualized returns and strong risk-adjusted performance on NIFTY & S&P 500. Advanced Statistical Arbitrage with Reinforcement Learning Implemented OU, distance-based, and RL-driven mean-reverting strategies using DQN + LSTM. Cryptocurrency Momentum & Reversal Strategies Identified short-term reversals and long-term momentum with Sharpe ratios up to 3.0. Robust Glasso Portfolio Optimization Improved Sharpe by 13.7% and reduced turnover using robust precision matrix estimation; research paper under review. 🔹 Tools & Skills Languages: Python, Java, C, C++, SQL ML / Data: NumPy, Pandas, Scikit-Learn, PyTorch, Backtrader Backend & Dev: Spring Boot, GitHub, CI/CD, JUnit, Mockito Math & Stats: Probability, Stochastic Processes, Optimization, Time Series, Financial Mathematics

I build AI and IoT systems that survive contact with production - in hospitals, on industrial sites, and inside enterprise data platforms. Clients hire me when a prototype has to become something clinicians, operators, and auditors can actually rely on. I do the architecture and the implementation. There is no handoff between the person who designs the system and the person who has to make it work at 2am. CURRENT WORK • Sental IQ - hospital-deployed healthcare IoT and vitals platform Deployed at Gold Coast University Hospital in Australia. I designed the full path from device to clinical record: an on-premises edge gateway (Docker, Mosquitto MQTT, Telegraf, HTTPS and TCP adapters) collecting from mmWave fall-detection sensors, time-of-flight people counters, air-quality units and clinical wearables; a real-time vitals pipeline moving blood pressure and biometric data through webhook push instead of polling; and an AWS backend with FHIR R4 as the clinical system of record and InfluxDB as the derived time-series layer. The models were never the hard part. The hard part was device classification across LoRaWAN, PoE and vendor-cloud connectivity, distinguishing patients from staff in top-down ToF heatmaps, and making every reading traceable enough for a clinician to trust. • Medical Equipment Finder - AI discovery and decision platform Build for a US medical equipment refurbisher: an AI system that helps buyers find and evaluate equipment, with retrieval grounded in real inventory and specifications rather than model guesswork. SELECTED EXPERIENCE • Built an industrial IoT telemetry pipeline ingesting 70,000 tags from Azure IoT Hub through Event Grid, Stream Analytics and Data Lake for Ashghal Authority Qatar (a national infrastructure authority) - 20% improvement in ingestion efficiency. • Developed a generative AI platform for ad-hoc data analysis in natural language. Ran a POC across multiple LLMs (Olama, Hugging Face, Kimi, DeepSeek, etc) before selecting OpenAI, improving query understanding by 60%. • Delivered 88%-accurate forecasting on IoT and business data using AutoML and scikit-learn, served through a Python/Flask and Azure architecture. • Built an AI medical record summarizer end to end for a US healthcare client using Agentic RAG. • Advised a client team from GMC Motors UAE on Databricks AI agent architecture. • Founded myNtropy, a B2B SaaS that turns LinkedIn networks into structured intelligence: FastAPI on Azure, React, Azure SQL, OAuth 2.0, Stripe, GPT-based enrichment, CI/CD on GitHub Actions. Built solo, end to end. STACK • Machine Learning - time-series forecasting, classification, clustering, anomaly detection, feature engineering, AutoML, model evaluation and hyperparameter tuning (scikit-learn, XGBoost, pandas, NumPy, Azure ML) • Deep Learning - CNNs for image and sensor-frame analysis, RNNs and LSTMs for sequence and telemetry data, transformer architectures and attention mechanisms • LLM Systems - RAG pipelines, agent architectures, tool use and MCP, prompt and context engineering, evaluation harnesses and hallucination guardrails (OpenAI, Claude, vector databases) • Azure - IoT Hub, IoT Edge, Data Factory, Machine Learning, Data Lake Gen2, Functions • AWS - IoT Core, Lambda, S3 • Data & Streaming - InfluxDB, Neo4j, Grafana, Databricks, Event Grid, Stream Analytics, MQTT, Kepware OPC, FHIR R4, SQL • Engineering - Python, FastAPI, Flask, Node.js, React, Supabase, Docker, GitHub Actions, Next,js HOW I WORK I start with the workflow and the cost of failure, not with a model or a vendor. I ask what evidence the system has to produce and who has to trust it, then design backwards from there. When an AI answer can be confidently wrong, I build the checks that catch it before a user sees it. I am comfortable owning the whole path from discovery to production, or embedding with an existing team to solve the specific architecture, integration or reliability problem that's blocking them. Every rated contract I have delivered on Upwork is 5.0. What clients flag most often is communication, reliability and accountability. One put it simply: "delivered high quality work and demonstrated strong accountability." I hold a BS in Data Science from FAST-NUCES, Pakistan, and run DATXOC, my own engineering practice. If you have an AI or IoT system that has to work in the real world, tell me what breaks today and I'll tell you honestly whether I'm the right person for it.

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning