Hi, I’m Ali, a passionate 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 dedicated to solving complex problems with data-driven solutions. I specialize in building, fine-tuning, and optimizing AI models that deliver real-world impact. With experience in 𝗟𝗟𝗠𝘀, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, 𝗡𝗟𝗣, 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻, I bring cutting-edge AI capabilities to businesses looking for intelligent automation and insights. ✅ I’ve worked on diverse projects, from 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 𝗹𝗮𝗿𝗴𝗲 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀) on medical datasets to 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗶𝗻𝗴 𝗱𝘆𝘀𝗹𝗲𝘅𝗶𝗮 𝗶𝗻 𝗰𝗵𝗶𝗹𝗱𝗿𝗲𝗻. I've optimized 𝗟𝗟𝗠𝘀 like 𝗕𝗘𝗥𝗧, 𝗟𝗹𝗮𝗺𝗮-𝟯.𝟭, 𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸, 𝗮𝗻𝗱 𝗠𝗶𝘀𝘁𝗿𝗮𝗹𝗔𝗜 for better accuracy. By improving loss and perplexity scores, I enhanced their ability to generate high-quality, context-aware responses. This deep experience in 𝗟𝗟𝗠 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 helps me build AI models that truly deliver. 🚀 ✅ What makes me unique? 𝗜 𝗹𝗼𝘃𝗲 𝘄𝗵𝗮𝘁 𝗜 𝗱𝗼 𝗮𝗻𝗱 𝘀𝘁𝗿𝗶𝘃𝗲 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘆. I stay up to date with the latest advancements in AI, constantly refining my skills to build better, smarter models. Whether it’s training deep learning models, working with transformers, or optimizing AI pipelines, I focus on delivering value-driven solutions. 🛠️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗸𝗶𝗹𝗹𝘀 Core AI & Machine Learning Machine Learning Algorithms Deep Learning (CNNs, RNNs, LSTMs, GANs) Generative AI & LLMs (GPT, BERT, Gemini, DeepSeekR1, Llama, MistralAI, Transformers) NLP (NLTK, Hugging Face, Tokenization) Computer Vision (YOLO, U-Net, OpenCV, ResNet) 🛠️𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 & 𝗧𝗼𝗼𝗹𝘀 Python (NumPy, SciPy, Pandas, Matplotlib, Seaborn) TensorFlow & PyTorch Keras Data Preprocessing & Feature Engineering 🛠️𝗢𝘁𝗵𝗲𝗿 𝗔𝗜 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 LLM Prompt Engineering Data Analytics & Visualization (Power BI) Model Fine-tuning & Optimization 🚀 Let’s build something amazing together! Feel free to reach out—I’d love to discuss how I can help your project succeed.

Hi there! I am an AI ML Lead, Senior Engineer and Developer with over 6 years of experience in designing and implementing cutting-edge AI solutions across various industries and specializing in Natural Language Processing ( NLP ), Large Language Models ( LLM ), Retrieval-Augmented Generation ( RAG ), and Agentic AI. My expertise extends to developing advanced AI-driven medical applications, leveraging state-of-the-art machine learning techniques to drive innovation and efficiency. Passionate about transforming complex challenges into scalable, real-world AI solutions. Brief summary: - have a strong background in mathematics; - implemented ML algorithms for business; - worked on R&D projects; - deployed models to production and monitoring it; - always enhance knowledge in the state-of-the-art AI techniques and read researchings - architecture-oriented, follow best practices to create scalable and mature products - strong organizational, problem-solving and analytical thinking - excellent communication and negotiation skills Domains: - Computer Vision - Natural Language Processing - Data Science - Reinforcement Learning - Generative AI Programming languages and frameworks: Python, Tensorflow, Pytorch, Scikit-learn, Pandas, Numpy, OpenCV, AWS, Flask, Docker. If you are looking for a reliable, creative and experienced AI professional, you have come to the right place - I will eagerly become your longtime partner. Let’s start working together!

Currently working as data analyst in Seatchatlas and Statbid. With a strong academic foundation and extensive professional experience in business intelligence, data visualization, and statistical modeling, I am confident in my ability to contribute effectively to any organization. After earning my degree in Finance, where I gained a solid grounding in Finance, Statistics, Macroeconomics, and Marketing, I pursued a Master's in Business Informatics. Most recently, I completed an MSc in Complex Systems and Networks, where I extensively used R to graphically represent statistical models and complex networks. These academic pursuits have honed my analytical and technical skills, while fostering a deep appreciation for the interplay between Computer Science and Economic Sciences. Currently, I am advancing my expertise through a PhD program, focusing on the application of machine learning and network science techniques in financial and economic systems. My research involves the development of predictive models and causal inference frameworks, using large-scale data analysis to address complex, real-world challenges in financial markets and organizational behavior. This experience has deepened my proficiency in quantitative methodologies, reinforced my ability to handle interdisciplinary projects, and enhanced my problem-solving approach when working with intricate datasets. In my professional experience as a Business Intelligence Analyst, I specialize in transforming complex datasets into actionable insights. My work involves leveraging tools such as R/Shiny, Tableau, Qlik Sense, and Microsoft Power BI to deliver data-driven solutions that align with business objectives. Additionally, I have collaborated with various firms on freelance projects, further refining my expertise in data visualization and statistical modeling. As an author for R-exercises, I have published tutorials and exercises on R packages like shiny, ggplot2, ggvis, and Rmarkdown, as well as machine learning methodologies. Through these contributions, I have demonstrated my ability to break down complex concepts into accessible and practical solutions, benefiting both professionals and learners in the field. My diverse academic and professional background has equipped me with a unique perspective, blending precision, creativity, and technical expertise. I am passionate about solving complex problems, uncovering actionable insights, and driving data-informed decision-making. I am excited about the possibility of contributing to impactful projects and would be delighted to discuss how my background aligns with organizational needs. Attached you can find URLs of some of my Shiny projects. There are only parts of them that I had clients' permission to deploy and use as a portfolio.

Passionate about building intelligent, data-backed quant solutions that enhance trading efficiency and decision-making.

⭐ Expert Vetted | Top Rated Plus — Top 1% on Upwork 👨‍💻 Founder & CEO, HumbleBeeAI 🥇 AI Professor, Gachon University 🏆 PhD in Artificial Intelligence | 12+ years of experience Short Overview (for a busy client) I am an AI Engineer, Machine Learning Specialist, and Full‑Stack Developer with 12+ years of experience delivering production-grade AI systems, LLM solutions, intelligent chatbots, and computer vision applications for startups and enterprises worldwide. I have helped more than 70 companies across the US, Europe, and the Middle East launch scalable AI products and generate over $5M in additional value through automation, predictive systems, and generative AI–driven features. As Founder & CEO of HumbleBeeAI and AI Professor at Gachon University, I combine deep research expertise with hands-on product delivery, focusing on solutions that are robust, explainable, and directly tied to business KPIs. If you need someone who can design, build, fine‑tune, and deploy real AI systems—not just prototypes or demos—I can own the full lifecycle from idea to production. LLMs, Generative AI & Chatbots LLM fine‑tuning and custom model training (LLaMA, LLaMA‑2, BLOOM, OPT) Prompt engineering and workflow optimization for reliability and cost-efficiency RAG systems using LangChain, FAISS, ChromaDB for private / enterprise search AI chatbot development and multi‑step automation agents API‑based AI integrations for web and mobile products Common use cases: AI assistants, document intelligence, knowledge‑base bots, SaaS AI features, internal productivity tools, and automated business workflows. Computer Vision Expertise Object detection and tracking (YOLO, OpenCV, custom deep learning models) OCR and document-processing pipelines Face recognition and biometric identification systems Image segmentation, classification, and visual analytics Video intelligence pipelines for real-time monitoring and alerts AR/VR vision‑based applications Ideal for: industrial monitoring, security and surveillance, retail analytics, document automation, and smart cameras. Machine Learning & AI Engineering Predictive modeling and forecasting (churn, demand, risk, pricing) NLP systems and text analytics Time‑series modeling and anomaly detection Reinforcement learning for decision-making and control Data pipelines and MLOps, CI/CD for ML AI automation tools and agentic workflows AI‑powered dashboards and insight products I prioritize clean data pipelines, reproducible experiments, and scalable deployment from day one. Full‑Stack & AI Product Development Frontend: React, Angular, Flutter, Streamlit, Tailwind, Figma Backend: Node.js, Django, Flask, .NET, REST APIs Databases: MongoDB, PostgreSQL, MySQL, Firebase, SQL Server Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Nginx, Heroku I can deliver end‑to‑end AI products—from MVP to production at enterprise scale—without heavy dependency on additional engineering teams.

I help post-Series-A and enterprise teams turn messy data into the dashboards their executives actually open — and increasingly, the AI agents that act on what those dashboards show. 12 years in BI and data engineering. Top Rated Plus on Upwork for a decade. 200+ clients, 12,000+ hours billed, $300K+ earned here. Where I've worked at depth: - Google (Chronicle / Siemplify) - built their entire BI infrastructure as their first BI hire; stayed five years through the Google acquisition. - British American Tobacco (MAF Group) - Head of Data; built a team of 15 and 100+ pipelines. - Boston Consulting Group - Lead Tableau + Dataiku mentor for 20+ analysts. - Teambuilder (Google Startups) - Tableau→Looker multi-tenant architecture, still active. Three things I do better than most: - BI architecture, not just dashboards. Tableau Certified Architect (2025), Google Certified Professional Data Engineer. I design the warehouse + semantic layer + governance, not just the front-end chart. - Migrations without business downtime. Power BI ↔ Tableau, Cognos → Power BI, Tableau → Metabase/Superset, GA/Adobe → BigQuery. I've done the messy ones. - AI layered on top of BI. Currently building Claude/MCP-driven workflows for proposal analysis, dashboard QA, and decision-agent prototypes. Enrolled in IIT Kharagpur's GenAI + Agentic AI programme (May 2026 – Jan 2027). ⭐⭐⭐⭐⭐ 5.00 across 80+ Jobs 🥇𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗲𝗿 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 🥇𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗟𝗼𝗼𝗸𝗲𝗿 / 𝗟𝗼𝗼𝗸𝗠𝗟 𝗗𝗲𝘃 🏆Top Rated Plus for 10 Years, 200+ clients, 12000+ hours worked 🏢𝗘𝗺𝗶𝗻𝗲𝗻𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 (𝗝𝘂𝘀𝘁 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲𝗺) » Google (Google Chronicle) » Boston Consulting Group (BCG) » British American Tobacco » Teambuilder » Hamptons (Emaar) 💡 𝗥𝗲𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘀𝗼𝗹𝘃𝗲𝗱 » Digital Marketing Dashboards integrating Google Ads, Facebook Ads, Reddit Ads data » Tracking Cost, LTV, CLTV, ROAS, CAC, RoI for Digital Marketing Agencies and Companies » eCommerce BI pipelines and dashboards integrating data from Shopify, Magento, Amazon API and various other eCommerce sources » Web Analytics dashboards integrating Google Analytics, Adobe Analytics and Posthog 💡4 𝗥𝗲𝗮𝘀𝗼𝗻 𝘄𝗵𝘆 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗻𝗼𝘁 𝗿𝗲𝗴𝗿𝗲𝘁 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗺𝗲 ✔️ 99% Client Success Ratio. My clients particularly love me because I stick through particularly during the hard days ✔️ All Round expertise - Experience with wide variety of tools in Data Visualization, Data Engineering, Data Governance and Gen AI prepares me for complex all-rounder expertise ✔️ 2 years - Average Client Retention time period since I started in Upwork ✔️ Communication & Business Knowledge - I understand what the client wants even though it's a small technical work. And so I deliver what they want and what they need 🛠️𝗠𝘆 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝘿𝙖𝙩𝙖 𝙑𝙞𝙨𝙪𝙖𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙏𝙤𝙤𝙡𝙨 ✔️ Tableau Desktop ✔️ Tableau Server ✔️ Looker ✔️ LookML ✔️ Looker Studio ✔️ Metabase ✔️ Qlik ✔️ Domo 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 / 𝘿𝙖𝙩𝙖 𝙒𝙖𝙧𝙚𝙝𝙤𝙪𝙨𝙚 ✔️ Google Bigquery (Google Certified Professional Data Engineer) ✔️ Snowflake ✔️ Postgres ✔️ Azure Data Lakehouse ✔️ Microsoft SQL Server ✔️ Amazon Redshift ✔️ MongoDB ✔️ Python 𝘿𝙖𝙩𝙖 𝙎𝙤𝙪𝙧𝙘𝙚𝙨 (𝘼𝙘𝙦𝙪𝙞𝙨𝙞𝙩𝙞𝙤𝙣) ✔️ Google Analytics (UA, GA4) ✔️ Adobe Analytics ✔️ Shopify ✔️ Magento ✔️ Amazon eCommerce ✔️ Qualtrics ✔️ IMS Claims ✔️ Google Ads ✔️ Facebook & Instagram Ads ✔️ Reddit Ads ✔️ Salesforce CRM ✔️ Pipedrive CRM ✔️ Go High Level CRM 𝗖𝘂𝘀𝘁𝗼𝗺 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗼𝗳𝗳𝗲𝗿 ✔️ Tableau Desktop Report Creation ✔️ Tableau Server Administration ✔️ Tableau Server Installation ✔️ Tableau Server Upgrade ✔️ Tableau Server backup automation ✔️ Tableau Server Automated Metadata extraction ✔️ Power BI to Tableau Migration ✔️ Excel or Google Sheets to Tableau Migration ✔️ Tableau Prep Flow creation ✔️ Tableau Pulse ✔️ Tableau to Power BI Migration ✔️ IBM Cognos to Power BI Migration ✔️ Tableau to Metabase Migration ✔️ Tableau to Apache Superset Migration ✔️ Tableau Rest API ✔️ LookML Data Modeling and Semantic Layer Development ✔️ Looker Implementation, Setup, and Data Source Integration ✔️ Embedded Analytics and Looker API Integration ✔️ Looker Performance Optimization and Health Checks ✔️ LookML Git Setup ✔️ Rapid Metabase Deployment & Setup ✔️ Metabase User Enablement & Self-Service Training ✔️ Metabase/SQL Optimization & Caching ✔️ Data Modeling & Metadata Governance

AI Solutions Architect | Full-Stack | Multi-Agent Systems | Cloud | MLOps | DL | Scalable GenAI | Vision Over the past seven years, I've worked with global organizations delivering impactful solutions across multiple domains. For the past three years, I've specialized in architecting and deploying production-grade AI systems—from healthcare platforms processing thousands of patient interactions to multi-tenant SaaS trading systems managing millions in transactions. What Makes Me Different: • AI-first, not API-first I don't just integrate APIs—I build intelligent systems from first principles. Not every problem requires a large language model; in many cases, classical machine learning delivers better latency, lower cost, and higher accuracy. When LLMs are needed, I choose the most effective approach per use case—using managed APIs where speed and scale matter, and fine-tuning open-source models such as Qwen, Gemma, and LLaMA with LoRA and QLoRA via Hugging Face and Unsloth when customization, control, or data privacy is critical. • End-to-end ownership, from MVP to production I design and deliver AI solutions end-to-end, including multi-agent orchestration with seamless handoffs, scalable microservices deployed via Terraform across AWS, Azure, and GCP, and selecting the right AI approach for each system component. I independently take products from prototype to fully scalable production—owning AI models, backend services, frontend interfaces, cloud infrastructure, and DevOps—to ensure cohesive, reliable systems that work seamlessly together. Recent Production Systems I've Built: • Multi-Agent Healthcare Orchestration: Deployed a HIPAA-compliant urgent-care system with 7+ specialized agents managing patient registration through discharge. Integrated with Cerner/Oracle EMR, handling diagnostic scanning, HPI questionnaires, documentation generation, and real-time compliance monitoring. Stack: Confidential. • Voice AI Appointment System: Built an inbound/outbound calling agent for healthcare providers that conducts eligibility screening with dynamic workflows (up to 40+ questions per flow), manages real-time slot booking via tool calls, and integrates with internal systems via custom adapters. Technologies: Daily Pipecat AI, LiveKit, Twilio, Deepseek, LangGraph, WebSockets, RabbitMQ, FastAPI microservices, React, Docker, MS SQL, Azure. • Algorithmic Trading Platform: Created a multi-tenant SaaS delivering real-time buy/sell signals for US equity indices using transformer-based time series forecasting (LSTM, GRU, hybrid ARIMA-LSTM models) with Prophet. Integrated agentic AI for market analysis and trade execution decisions. Technologies: Python, FastAPI, React, PostgreSQL, Redis, LangGraph, Docker, Kubernetes, AWS with auto-scaling infrastructure. • ETRM Energy Trading System: Single-tenant platform managing position limits, trade surveillance, and OTC trades across ICE and CME exchanges. Integrated agentic AI capabilities for pattern recognition and risk assessment. Technologies: .NET Core, React, PostgreSQL, Kafka, Redis, LangChain, Pinecone, Docker, Azure. • Agentic RAG & MCP Systems: Implemented Model Context Protocol for an ATS platform and stock-forecasting bot, enabling intelligent context retrieval across distributed data sources. Used Pinecone, Milvus, Elasticsearch, and LlamaIndex for semantic search. Core Technical Expertise: • AI/ML Specializations: Multi-agent systems with high-level control (CrewAI, Google ADK, OpenAI Agents SDK) and low-level orchestration (LangGraph, custom frameworks for specialized workflows), LLM fine-tuning (PEFT, LoRA/QLoRA), RAG architectures, computer vision (YOLOv11/v12, OpenCV, MediaPipe), NLP (BERT, RoBERTa, spaCy, NLTK), time series forecasting, predictive modeling with TensorFlow and PyTorch. • Full-Stack Development: Frontend (React, Next.js, Redux/Zustand, MUI, Tailwind CSS), Backend (Python/FastAPI, Node.js/Express, .NET, PHP), APIs (REST, GraphQL, gRPC), real-time communication (WebSockets). • Cloud & Infrastructure: Multi-cloud expertise (AWS, Azure, GCP), infrastructure-as-code with Terraform, containerization (Docker, Kubernetes), serverless architectures, cost optimization strategies, VPS management with NGINX. • Data Layer: SQL databases (PostgreSQL, MS SQL, MySQL), NoSQL (MongoDB), vector databases (Pinecone, FAISS, Milvus), graph databases (Neo4j), ORMs (SQLAlchemy, Prisma), caching layers (Redis). • LLMOps & AI Platforms: Azure AI Foundry, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic Claude, Gemini AI Studio, Hugging Face ecosystem, Unsloth, LLAMA4, Qwen, Gemma, platform orchestration tools. • Integrations & Automation: Slack, Discord, Telegram, Twilio, Trello, Google Sheets, Airtable, Make, n8n, Google Drive, etc. MS in Data Science and seven years of hands-on experience mean I approach problems holistically: understanding business requirements, designing scalable architectures, iterating based on real-world metrics. #AI-Solutions-Architect

Complete Portfolio > diporizki.edgeone.app/ Hello everyone, thank you for visiting my profile, my name is Dipo Rizki Saleh. I'm a graduate of Geography, Faculty of Mathematics and Natural Science Universitas Indonesia that passionate about GIS, Remote Sensing, Spatial Data Science, Data Visualization, R programming, Business Development, and Digital Marketing that have 2 years of college-work experience in small companies and ventures and 1+ years (ongoing present-time) of industry-work experience in big corporate. I have skills in spatial analysis, statistical analysis, satellite imagery, GIS architecture, survey and mapping, and programming using ASP.NET C#, javascript, R, Python, and SQL. I am also familiar with various frameworks, including Tensorflow, Numpy, React.js, and Node.js for data science and modeling needs. With my background in GIS, remote sensing, and spatial data science alongside business development, I can help the company to achieve its goal of expanding into new markets and improvising its development, especially in spatial analytical needs. Whether the company is a plantation/mining/logistic/environment/retail/oil&gas or other related industries. Technical Competency/Expertise: - Geographic Information System (GIS) : Spatial Analysis, Thematic Mapping, WebGIS, Google Earth Engine, Dashboard Development (R), Spatial Queries, Spatial Data Management - Remote Sensing : Raster Analysis & Visualizations, Spatial Training & Modeling (Python), Indices Algorithm, Satellite Imagery, 3D Modeling - Survey and Mapping : Land/Topographic Survey, Surveying instrument (Theodolite, RTK, and GPS) - Business: Digital Marketing, Business Development & Improvement, Entrepreneurship, General Geography * Software/Language Used: QGIS, ArcGIS (All Products), RStudio, Jupyter, AutoCAD, ENVI, GEE, Tableau, Power BI / R, Python, SQL, Javascript, HTML, CSS Soft skills: - Leadership, team-working - Good English proficiency - Management, growth-mindset Hobbies: - Watching movies, playing games - Going hangout with friends - Culinary and coffee/drinks enthusiast MBTI: Commander (ENTJ-A)

Hello! I'm Aaditya Mittal –I’m a freelance developer, data scientist, and SAT math tutor who brings clarity to complexity — whether you're scaling with AI or solving equations for college entrance. With a deep passion for intelligent systems, automation, and education, I help businesses and learners achieve real, measurable results. A passionate technologist with a powerful blend of expertise in Software Development, Artificial Intelligence, Data Science, Technical Support, and Content Writing. With hands-on experience in building intelligent systems and solving real-world problems through code and communication, I aim to deliver meaningful, scalable, and high-impact solutions for businesses and individuals alike. What I Offer: 1. Software Development Languages: Python, Java, JavaScript, PHP, C, C++, HTML/CSS, SQL. Frameworks & Tools: Django, Flask, React.js, REST APIs, MySQL, Git, Power BI. Projects: Smart Parking System: An IoT-enabled parking management solution using Raspberry Pi, React, and Python for real-time availability tracking. RACBoard: An AI-driven recruitment platform integrating AR interface and blockchain-backed security using Django and Agile methodology. ANPR (Automatic Number Plate Recognition): Python & OpenCV-based OCR system for vehicle identification. Ask Your Database: Natural Language Processing chatbot to query databases with plain English. Shoplifting Detection System: Final-year project utilizing computer vision to detect potential theft in retail settings. 2. AI, ML & Data Science Experience in developing machine learning models and AI-driven applications. Skilled in data preprocessing, model training, and evaluation using tools like Pandas, NumPy, scikit-learn, and TensorFlow. Worked on real-time object/person detection using YOLO, RTSP feeds, and FASTMOT for security analytics. Familiar with facial recognition, emotion detection, and behavioral profiling in audio-video pipelines. Applied data analytics to large-scale datasets for business insights, anomaly detection, and predictive modeling. Why Choose Me? ✅ Full-Stack Versatility: From frontend UI to backend systems, machine learning models to IoT integrations – I bring a complete tech stack perspective. AI-Native Thinking: I go beyond traditional coding to embed intelligence, automation, and learning in systems. Problem Solver: I thrive on challenges and innovate constantly to resolve complex technical problems. Clarity in Communication: Whether working solo or collaborating in teams, I ensure seamless communication and clear reporting.

Hi, I’m Deepesh I design and deliver AI solutions that turn raw data into real business impact. Over the past few years, I’ve helped companies: • Build AI-powered search systems that can read thousands of PDFs and database fields using RAG + vector databases. • Deploy chatbots & NLP models to automate customer support and lead generation. • Create predictive models (credit scoring, fraud detection, sales forecasting) that improve decision-making. • Develop computer vision systems (e.g., textile defect detection) that cut manual inspection costs. My expertise includes: • Machine Learning & Predictive Analytics: Regression, Classification, Random Forest, XGBoost, SVM. • Deep Learning: ANN, CNN, RNN, LSTM. • Natural Language Processing (NLP): Text classification, intent detection, embeddings, chatbots. • Vector Search & RAG: Elasticsearch, Weaviate, FAISS, LangChain, OpenAI/HuggingFace embeddings. • Computer Vision: Image recognition, quality inspection, anomaly detection. Why clients work with me: • PG Diploma in AI & ML (upGrad + IIIT Bangalore). • Hands-on delivery of 8+ AI/ML projects (finance, manufacturing, research). • Experience with large datasets (millions of rows, 10k+ documents). • Blend of academic depth + practical industry results. If you need: • AI Search / RAG pipeline for PDFs or databases • Predictive analytics & forecasting models • NLP chatbots for support & automation • Computer vision for inspection & detection 👉 Let’s talk. I’ll design a clear tech plan and deliver a working PoC you can test before full rollout.