As for technology and science jobs, there are opportunities for both lecturers and engineers. My name is Amanuel, but you can call me Aman. Currently, I work as a lecturer in IoT at the Department of Electromechanical/Mechatronics Engineering. I have been working in this field over four years. For my M.Sc. thesis in Mechatronics Engineering, I designed an AI-based autonomous robot intended for hospital use. This robot employs deep reinforcement learning (DRL) and DL-based robots using programming languages such as Python and C/C++. I built a prototype of this robot using the NVIDIA JETSON NANO 2GB developer kit and ARDUINO UNO as master and slave. The SGD (Stochastic Gradient Descent) algorithm is an essential algorithm for Gradient Descent that was used in this project. I also have extensive experience with SolidWorks and AutoCAD and have used MATLAB to implement classical controllers such as PI and PID, interfacing them specifically with SolidWorks. Consequently, I believe I am well-equipped to collaborate with and support individuals in the field of AI and programming. **** SERVICE AREAS **** 🟠 Machine Learning: ✅ Machine learning model development and implementation ✅ Data preprocessing and feature engineering ✅ Supervised learning (classification, regression) ✅ Unsupervised learning (clustering, dimensionality reduction) ✅ Deep learning and neural networks ✅ Natural language processing (NLP) tasks ✅ Recommendation systems ✅ Time series analysis and forecasting ✅ Model evaluation and performance optimization 🔴 Computer Vision: ✅ Image classification and object recognition ✅ Object detection and localization ✅ Image segmentation ✅ Facial recognition and biometrics ✅ Image and video analysis ✅ Feature extraction and representation learning ✅ Optical character recognition (OCR) ✅ Pose estimation and tracking 🟣 Model Evaluation and Performance Optimization: ✅ Model validation and evaluation metrics ✅ Hyperparameter tuning and optimization ✅ Performance optimization for scalability and efficiency ✅ Debugging and troubleshooting ML models **** Proficient in the following PYTHON Libraries for ML/DL projects **** ✔️Tensorflow ✔️ Keras ✔️ PyTorch ✔️ Pandas ✔️ NumPy ✔️ SciPy ✔️ Python Scikit-Learn ✔️ Statsmodels ✔️ Matplotlib ✔️ OpenCV ✔️ PIL **** Successfully Completed jobs in Upwork **** ➡ Emotion detection using CNN on the FER2013 dataset: Video Classification Deep Learning ➡ Stock price prediction using different predictive algorithms: Need an AI expert for stocks ➡ Computer vision using YOLOv5 PyTorch model: Weapon detection using Yolo and SURF Algorithm ➡ Building Predictive model for stocks (ForEex ): Build me a deep learning AI model from my data ➡ Build speech synthesis model using BARK, Tortoise, and SVC pre-trained models: Voice Cloning text to speech (custom voice) ➡ Create an object detection AI model for refrigerators and turn it into an API ➡ Python Developer - Depth-Enhanced CNN Model Specialist ➡ Research and Compare various AI Models ➡ Data Analyst and Engineer **** Successfully Completed projects **** ✳ ML-based Stroke prediction ✳ Apple Price Prediction using RNN/LSTM ✳ Sign Language Recognition System using Random-Forest ML algorithm ✳ Alphabet Recognition (EMNIST) based on OpenCV, Convolutional Neural Network (CNN) ✳ Object Detection-DL and OpenCV ✳ ML-based Stroke prediction: LR, RNN/LSTM, Random-Forest, and Decision-Tree algorithms. ✳ AI/DL-based Autonomous navigating and patient follower robot using Nvidia Jetson Nano DK

Senior Computer Vision Engineer specializing in production-ready AI systems. Over the past 5+ years, I have designed, trained, optimized, and deployed computer vision solutions across medical imaging, biotechnology, agriculture, remote sensing, and industrial applications. ✦ Core Specializations ─────────────────────────────────────────── ⚡ Object Detection & Real-Time Inference Custom detection pipelines built on YOLO, RT-DETR, RF-DETR & Detectron2. Single-modal and multi-modal. Optimized for speed, accuracy, and edge deployment — not just benchmark scores. ⚡ Medical & Biotech Image Analysis Classification, segmentation & prediction systems for clinical and research environments. Calibrated outputs, ordinal grading, custom loss functions designed for domain-specific constraints where off-the-shelf fails. ⚡ Multispectral & Aerial Computer Vision RGB, NIR, thermal — cross-modal fusion architectures for remote sensing, livestock monitoring & precision agriculture. Full pipeline ownership from raw sensor calibration to production-ready detection. ⚡ Video Intelligence & Motion Analysis Action recognition, temporal modeling & tracking from video. Real-time inference pipelines containerized and deployed on cloud GPU infrastructure. ✦ Technical Stack ─────────────────────────────────────────── Computer Vision: PyTorch · OpenCV · YOLO · RT-DETR · RF-DETR · Detectron2 · DINOv2 · Vision Transformers · SAM Image Processing: Camera Calibration · ChArUco · ArUco · Chessboard Calibration · Fisheye Calibration · Stereo Calibration · Image Undistortion · Image Rectification · Geometric Vision Machine Learning: Deep Learning · Classification · Segmentation · Tracking · Action Recognition · Pose Estimation · Multi-Modal Learning Deployment & MLOps: FastAPI · Docker · AWS · GCP · ONNX · TensorRT · CI/CD ✦ What to Expect ─────────────────────────────────────────── Requirements Discovery → Solution Design → Structured Milestones → Weekly Demos & Progress Updates → Production-Grade Delivery → Post-Deployment Support → Send a message with project details to get started.

I build production-ready AI systems (RAG pipelines, LLM applications, and multilingual NLP) that solve real problems, not just demos that break in production. I'm a PhD researcher in AI/ML with 6+ years building NLP, machine translation, and information retrieval systems, with published work in ACM, Elsevier, EACL, and FIRE. That research background means I can handle the hard problems most freelancers can't: cross-lingual retrieval, low-resource and Indic languages, speech-to-speech systems, and LLM pipelines that actually hold up. What I can build for you: ✔ RAG pipelines and LLM-powered applications (LangChain, HuggingFace, PyTorch) ✔ NLP systems: text classification, NER, sentiment analysis, transformers ✔ Multilingual & cross-lingual AI, with deep expertise in Indic languages ✔ Speech-to-text and speech-to-speech AI ✔ Search and information retrieval engines ✔ Custom ML models: supervised, unsupervised, and deep learning ✔ End-to-end AI pipelines, from prototype to deployment I communicate clearly, hit deadlines, and care about code you can actually maintain. If you have an AI/NLP problem you're not sure is even solvable, that's exactly the kind of project I like. Send me a message and let's scope it.

Struggling with building powerful AI systems that actually deliver business results? I specialize in turning complex Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into simple, scalable, business-focused solutions. As a Top Rated AI Developer with 40+ successful projects, I help businesses: Predict outcomes and optimize operations with custom ML models Deploy real-world AI solutions — not just theoretical prototypes Build AI-powered chatbots, automation systems, and smart assistants Save time, increase revenue, and stay ahead of competitors through intelligent automation What I Offer: ✅ End-to-End Machine Learning Solutions (preprocessing to deployment) ✅ Advanced Deep Learning Systems (CNNs, GANs, Transformers) ✅ NLP Solutions (chatbots, text analysis, language modeling) ✅ LLM Integration (GPT-4, Claude, Llama2, Gemini, Falcon 7B) ✅ Automation & Workflow Orchestration (Make.com, N8N, LangChain, CrewAI) ✅ AI-Powered Computer Vision (YOLOv8, SAM, EfficientNet, Unet, MediaPipe) ✅ Real-Time ML Deployments (Flask, Django, AWS, GCP) ✅ IoT & Edge AI Solutions (Jetson Nano, Raspberry Pi, Arduino) ✅ Scalable AI Infrastructure on Cloud Why Work With Me? Clear and Responsive Communication Cutting-edge AI Techniques for Maximum Accuracy Timely Project Delivery & Full Testing/Validation Business-Centric Solutions, Not Just Code Tech Stack: Python | TensorFlow | PyTorch | Hugging Face | OpenCV | Flask | Django | AWS | Make.com | N8N | PostgreSQL | Pinecone | Faiss | Chroma | Qdrant Ready to transform your data into business intelligence or automate your workflows? Let’s connect and turn your AI vision into reality. Message me today!

🌟Top Rated AI consultant specializing in LLMs and RAG chatbots. 📌 LLM Implementation, RAG & Agentic Workflows ✅ Proficient in deploying and fine-tuning Large Language Models (LLMs) such as Llama 3, Claude, Mistral, Phi-3, and OpenAI GPT models for diverse conversational and reasoning applications. ✅ Built advanced Retrieval-Augmented Generation (RAG) systems with custom chunking, hybrid (dense + keyword) search, and vector databases like Pinecone, Weaviate, ChromaDB, and FAISS for accurate, traceable answers over large datasets. ✅ Architected multi-agent orchestration frameworks using LangChain, LangGraph, OpenAI Agent SDK, and Mastra — designing Planner, Retriever, Executor, and Feedback agents for memory-rich workflows. ✅ Engineered Model Context Protocol (MCP) servers enabling unified natural-language querying across infrastructure, security, and code-quality systems. ✅ Expertise in parameter-efficient fine-tuning (LoRA) for domain-specific performance without overloading infrastructure. 📌 Enterprise AI & Observability Platforms ✅ Developed Natural-Language-to-SQL agents integrating DevSecOps tools like Datadog, Snyk, SonarQube, and Qualys into a single conversational layer. ✅ Built real-time vulnerability correlation engines and automated root-cause-analysis pipelines for enterprise agentic platforms (10+ integrated tools). ✅ Delivered production GenAI systems for enterprise clients through the Andela Talent Network, including Scholastic and News Corp. 📌 Conversational AI & Voice Agents ✅ Expert in real-time voice AI agents using the OpenAI Realtime API, ElevenLabs, and Twilio Voice for natural, low-latency phone conversations. ✅ Built end-to-end voice bots with interruption handling, emotion detection, transcription (Whisper), and multi-language support. ✅ Designed WebRTC voice pipelines with sub-200ms latency using Twilio Media Streams and FastAPI + AWS Lambda backends. ✅ Created conversational IVR systems blending traditional telephony with modern AI for enterprise contact centers. 📌 Document Intelligence & Computer Vision ✅ Engineered LLM-driven document intelligence pipelines using VLMs (Qwen2-VL, Donut) and YOLOv10 for zero-shot, generative parsing of complex layouts. ✅ Built intelligent document-routing pipelines with a custom EfficientNetV2 architecture achieving 95% top-2 accuracy in PDF page classification before generative processing. ✅ Trained transformer-based OCR models (with Tesseract, EasyOCR, Textract) to extract high-fidelity text from degraded, noisy scans and feed clean context downstream. 📌 Generative AI for Business Applications ✅ Delivered enterprise generative AI using Stable Diffusion, MimicMotion, DWPose, ControlNet, and ComfyUI for branded content, avatar animation, and video-to-video generation. ✅ Integrated generative models with chatbots for document generation, image-based responses, and personalized outputs. 📌 Cloud, Backend & Deployment ✅ Scalable deployments on Azure AI, AWS, and GCP — including Azure Cognitive Services (Speech-to-Text, Text Analytics, Computer Vision). ✅ Production backends with FastAPI, Docker, GPU scaling, and custom high-performance local ML hardware. 📌 Revenue and Impact 🌟 Earned $80,000+ on long-term AI consultancy projects across LLM, agentic, and computer vision systems. 🌟 Top Rated with a 100% Job Success Score and 1000+ hours of delivered consultation. 🌟 Backed by a research foundation from IIT Kharagpur — 7 peer-reviewed publications and 200+ citations. 📌 Tools and Tech Stack 🌟 LLMs & NLP: OpenAI GPT, Llama 3, Claude, Mistral, Phi-3, LangChain, LangGraph, Hugging Face 🌟 Agentic: OpenAI Agent SDK, Mastra, MCP, CrewAI, Autogen 🌟 Vector Search: Pinecone, Weaviate, ChromaDB, FAISS, Milvus 🌟 Cloud & APIs: Azure AI, AWS, GCP, Docker 🌟 Vision & OCR: YOLOv10, Qwen2-VL, Donut, EfficientNetV2, Tesseract, EasyOCR, Textract 🌟 Generative AI: Stable Diffusion, MimicMotion, ControlNet, ComfyUI 🌟 Programming: Python, FastAPI, Flask, SQL 📌 Why Clients Choose Me 🌟 Proven Expertise: Research-grade rigor paired with production-ready delivery, consistently exceeding expectations. 🌟 Scalable Solutions: Modular, enterprise-grade architectures built for real-world scale. 🌟 Client-Centric Approach: Rated 5/5 for responsiveness, innovation, and technical excellence. 📌 Client Testimonials 🌟 "Abhik is very knowledgeable. He has the skills and the tenacity to solve tough problems." 🌟 "Abhik is truly exceptional. He carefully listens to your requirements and delivers perfect results." 📌 Let's Build Smarter AI Together Looking for an agentic AI platform, an LLM-powered RAG system, or a real-time voice agent? Let's collaborate to build something remarkable. Contact me today to discuss your project!

⭐ 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'm an Upwork member with 100% Job Success and Top Rated Plus Python and C++ programmer with extensive experience in sound, image and video processing. I have been working for a long time with the OpenCV, GStreamer and NVIDIA Deepstream SDK libraries, using GPU hardware with CUDA and other HPC libraries. My work experience includes professional video players & editors, transcoders (using different types of inputs, such Blackmagic Decklink capture cards and all the video formats: HLS, SRT, fMP4, WebRTC), DSP systems, JUCE framework, object detection and tracking, Deep Learning systems (YOLO, Pytorch, Tensorflow, TensorRT), AI hardware like NVIDIA Jetson Orin and Raspberry Pi devices. I have also experience in ultrasound signal processing. In ML and LLM models I'm working training Reinforcing Learning PPO models and LORA fine tuning methods on AI. Also I have experience with TTS and Speech Recognition systems using models like Whisper, WhisperX and PiperTTS. In Hardware and PCB design I have good experience in Arduino and IDF Espressif systems, based on ESP32, ESP32s2 and ESP32s3 chips with standard thermal cameras and ESP32 Drones, using MQTT messaging and SSL certificates (WiFi, Bluetooth and external sensors). I can design and build a custom PCB board. I like to choose projects that interest me and that match my skills and give me a challenge or bring something new.

I help businesses harness the power of AI to automate processes, enhance customer experiences, and build intelligent systems that deliver measurable results. With expertise in AI agent development, large language models (GPT-4, LangChain), Retrieval-Augmented Generation (RAGs), vector databases, and automation tools like n8n, I design and implement end-to-end AI solutions tailored to business needs. How I Can Help You: ✅ AI Agents & Chatbots: Custom AI agents, conversational bots, GPT-4/ChatGPT integrations ✅ Voice & Multimodal AI: Voice bots, AI-driven interaction systems ✅ Retrieval-Augmented Generation (RAGs): Advanced knowledge systems using vector databases (Pinecone, Weaviate, etc.) ✅ Automation & Orchestration: n8n workflows, AI-driven automations, system integrations ✅ AI Consulting & Prototyping: Strategy, architecture, and rapid development of AI solutions Tech Stack & Tools: AI & LLMs: GPT-4, ChatGPT, OpenAI, LangChain, Stable Diffusion Automation & Workflows: n8n, Make .com, Notion, Airtable, Workflow Optimization Vector Databases: Pinecone, Weaviate, ChromaDB, FAISS Programming & Frameworks: Python, FastAPI, Django, AI-powered applications Cloud & Hosting: AWS, Azure, Serverless AI deployments ✅ Focused on clear communication, business impact, and on-time delivery ✅ Open to both short-term and long-term AI projects

I have been working on some projects relative to Intelligent Video Analysis for - AI Agent collecting lead for photographer business - Retriever and answer question based on given knowledge documentation using langchain, hugging face and OpenAI platform API - Traffic surveillance, vehicle detection, license plate recognition - Pose estimation - Re-identification (reID) system - Retail shop tracking management - people tracking for single camera and multiple cameras - Had about 6 years of experience with Deepstream So the experience that I consist of: + Skill: - Build Hailo Engine AI model on Pi Raspberry 5 edge device - Building/Training model Deep Learning for Objects Detection / Classification - Image and Video processing - Working on streaming video, understanding video Encode/Decode - Data mining (Data struct design, data analysis) - Optimizer algorithm/modeling - Video Encoding/ Decoding on GPU and CPU - Web development (I self develop the Web Application name Data Annotation Tool. The system manager and labeling data for image/video. Build own self-DATASET for training model) - WebRTC - DevOps + Programming language - C/C++, Python, JavaScript, Java, Go, Rust + Framework LLM: OpenAI Platform, LangChaib, SGlang / Ollama / vLLM Vision: OpenCV, DS-ML: Numpy, Pytorch, Caffe, Keras Nvidia: NVDEC/NVENC, TensorRT, Deepstream SDK, TAO Toolkit Database: Postgresql, MongoDB (Cloud / Atlas), MySQL, SQLlite, Redis Font-End: React, FabricJS Back-End: Django (Django REST), Message Serving: Kafka Apache, NATS, Elastic Others: FFmpeg, , GStreamer, Celery, Kurento + Clouds: AWS, Google Cloud, Digital Ocean + Tool / Software / Application - Linux, Window - Visual Studio Editor, Sublime Text - Docker - Copilot

I am a Top-Rated AI Engineer specializing in Deep Learning, Computer Vision, and Generative AI with over 7 years of experience and 100+ successfully delivered projects globally. I don't just train models; I engineer end-to-end AI systems that perform flawlessly, scale seamlessly, and maintain ultra-low latency in high-traffic production environments moving your code out of Jupyter Notebooks and into enterprise-grade realities. 🛠️ Core Expertise: •Computer Vision: High-speed object detection/tracking (YOLO v8/v10/v11), multi-camera tracking, face recognition, human pose estimation, and industrial anomaly detection. • Generative AI & NLP: Production deployment of GPT-4/LLMs, custom LangChain workflows, conversational agents, and semantic search. • AI Engineering & MLOps: Model optimization (Quantization/Pruning) for edge devices (NVIDIA Jetson, TFLite, TensorRT) and scalable cloud deployment (Docker, Kubernetes, AWS, GCP). • Document Intelligence: Advanced OCR, License Plate Recognition (LPR), and structured data extraction pipelines. 💻 Technical Ecosystem: Frameworks: PyTorch, TensorFlow, OpenCV, LangChain Deployment/Edge: ONNX, TensorRT, Docker, NVIDIA Jetson, TFLite Cloud & DevOps: AWS (SageMaker/Lambda), GCP, Azure, CI/CD for ML Languages: Python (Expert), C++, SQL 🧪 Proven Production Impact: 🏥 MedTech AI: Built a medical imaging pipeline utilizing deep CNNs/Transformers for real-time diagnostics across 50+ clinical endpoints. 📦 Smart Logistics: Engineered an end-to-end multi-camera tracking system processing 100K+ assets daily with 99.4% accuracy. 🔥 Fire Detection AI: Built a sub-second latency safety monitoring system optimized for low-compute edge hardware. 🚗 Smart City OCR: Developed an automated vehicle tracking system capable of processing high-speed traffic streams. 📊 Predictive Analytics: Fused deep learning perception with business logic, reducing reporting overhead by 90%. 🌟 Why Partner With Me? Production-First: I prioritize stability, cost-efficiency, and low latency over "lab-only" metrics. MVP to Scale: I partner with startups to build rapid, robust Proof of Concepts (POCs) and scale them smoothly. Elite Reliability: 100+ projects delivered on time with clean, maintainable, and well-documented code. ✔️ Open to signing NDAs for confidential enterprise or startup projects. ✔️ Additional codebase demos and architecture details available upon request. Let’s turn your vision into a scalable reality. ✨ Click the "Message" button, and let’s discuss how we can put world-class AI to work for your business. 📩