I have several years of experience, using multiple programming languages and frameworks, in both academia and industry, in statistical modeling, probabilistic programming, classical machine learning and application of deep learning in several domains. The last several years I have been primarily ad cloud and data architect and data engineer and AI engineer. I have extensive experience in data modeling, pipeline development, data compliance, and worked with several database technologies (relational, NoSQL, graph, Hadoop and Spark), as well as CI/CD, API development, and architecting and development with multi-cloud computing platforms (Microsoft Azure, AWS, and GCP). I have deep experience in Databricks, and am a certified data engineer professional. 

I have worked in various fields such as, statistical genetics, behavior genetics, computational social science, app development, FinTech and healthcare data. The last 3 years I have run a consultancy while also building two profitable startups as data architect, data engineer while also being responsible for AI engineering and machine learning. Current Certifications: Databricks: Data Engineer Professional Azure: Developer, Data Scientist, Data Engineer, AI Engineer AWS: Data Engineer GCP: Data Engineer I have an extensive background in Python, R, JavaScript, SQL (T-SQL, PostgreSQL, SparkSQL, Databricks SQL, CQL, HiveQL, Cypher, KQL), with most data science libraries such as Pandas, NumPy, Scikit-learn, SciPy, SymPy, Rapids, PySpark, TensorFlow and TensorFlow Probability, Keras, PyTorch. I have extensive experience with standard data engineering tools: Snowflake, Databricks, Spark, PostgeSQL , dbt , Neo4j, Hadoop, Airflow, Beam, Iceberg, Hive, Kafka

, AirFlow, Flink, SuperBase, Hadoop, Dagster, Prefect, dot. As well as deep experience with several AI frameworks and automation tools: DSPy, LlamaIndex, BAML. LangChain, Hugging Face, AutoGen, LangGraph, a2a, MCP the AI frameworks of all 3 major cloud providers, n8n, Make, PipeDream, Flowise, Zapier, 5 Tran, and AirByte. 
I have extensive experience with multiple cloud providers, especially with the following skills and cloud products:
 General Cloud Development: Databricks in any cloud Azure: Storage, Networking, Functions, VMs, App Service, Synapse, Data Factory, DevOps, Kubernetes Service, API Management, Service Bus, Event Hubs, Event Grid, PubSub, Notification HubsRelay, IoT Hub, Power Apps, Power Automate, Azure Machine Learning, Synapse Analytics, Data Lake Storage, SQL Server, Cosmos DB, Data Flow, Stream Analytics, HDInsight, Redis, Cognitive Services, Text Analytics Service, LUIS, Custom Vision, Bot Service, Cognitive Search, and the general Power Platform AWS: S3, EBS, EC2, Lambda, Networking, RDS, Redshift, Arora, Athena, DynamoDB, DocumentDB, Lake Formation, Glue, Redis, SageMaker, Bedrock, Kinesis, QuickSight Elasstic Beanstalk, Elastic Kubernetes Service, Databricks, Pipeline, EMR, CloudWatch GCP: Storage, Networking, Cloud Functions, VMs, App Engine, Kubernetes Engine, API Gateway, BigQuery, BigTable, DataProc, Composer, DataFlow, Data Fusion, Data Studio, Cloud SQL, CloudSpanner, Cloud Memorystore, Pub/Sub

🚀 Data Analyst | ML Engineer | Python Backend Developer 🚀 Hi! I’m Vivek Miryala, a passionate Data Analyst and ML Engineer with a strong foundation in Python backend development. I specialize in building robust machine learning solutions and scalable backend APIs for data-driven applications. 🔍 What I Offer: Machine Learning & AI: Extensive experience in developing and optimizing ML models for computer vision, network security, and anomaly detection. Proficient with frameworks like PyTorch, TensorFlow, and Scikit-learn. Python Backend Development: Skilled in creating RESTful APIs and backend services using Flask and FastAPI. I can design, implement, and deploy scalable backend systems tailored to your needs. Data Analysis & Visualization: Advanced data wrangling, analysis, and visualization using Pandas, Seaborn, and Matplotlib. Comfortable with SQL and working across Linux, Windows, and MacOS. Cloud & DevOps: Hands-on with AWS, Azure, and Google Cloud for deploying ML models and backend services. 🛠️ Tech Stack: Python, Flask, FastAPI, PyTorch, TensorFlow, Scikit-learn, OpenCV, SQL, AWS, Azure, Power BI, Jupyter, VS Code 📈 Highlights: Developed a CNN-based image retrieval system with 25% better precision than traditional methods. Built a DDoS detection model achieving 99.35% accuracy. Real-time road anomaly detection using YOLOv8 and SSD (mAP 88.2-96%). Certified in Advanced Machine Learning (Google Cloud), Data Science (IBM), and Analytics for Decision Making (University of Minnesota). Let’s turn your data into actionable insights and build powerful backend solutions together! 🚀

I’m an AI Developer with an MSc in Artificial Intelligence and a BSc in Computer Science, specializing in building intelligent, data-driven systems. My focus is on applying AI techniques to create practical, scalable solutions for real-world problems. I have hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing using frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. I also develop LLM-based applications with LangChain, RAG, and AI agents, integrating these into production-ready systems. ✅ Core Expertise: • Machine Learning (Regression, Classification, Clustering) • Deep Learning (CNNs, RNNs, Transformers) • Natural Language Processing (Chatbots, Text Mining, Summarization) • LLM Applications – RAG, LangChain, AI Agents, Vector Databases, OpenAI API • Model Optimization, Data Engineering, and Deployment • Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy If you’re looking for a skilled AI developer who can design, train, and deploy intelligent systems, let’s collaborate and bring your ideas to life!

Computational scientist with 5+ years delivering research-grade data science across clinical and biological domains. I build autonomous AI systems, scalable analysis pipelines, predictive models, and data-driven applications - with doctoral-level depth in multi-omics and systems biology. I adapt to your stack, your environment, and your standards. I do not just analyze data. I build infrastructure around it: reproducible workflows, intelligent agents, and production-ready solutions that hold up under scientific scrutiny. WHAT I OFFER Agentic AI and LLM Pipelines Autonomous agents, multi-agent systems, retrieval-augmented workflows, and LLM-integrated tools that automate complex reasoning and data tasks end to end. ML and Deep Learning Predictive modeling, neural networks, ensemble methods, and model interpretability - built to generalize, not overfit. Bioinformatics and Multi-Omics End-to-end analysis of next-generation sequencing data across modalities: bulk and single-cell RNA-seq, whole genome and exome sequencing, ATAC-seq, ChIP-seq, metagenomics, long-read sequencing, and spatial transcriptomics. Advanced integration techniques and multi-omics. Data Analysis and Visualization Statistical testing, exploratory analysis, and publication-quality figures that communicate results clearly to both technical and non-technical audiences. Biostatistics and Epidemiology Rigorous statistical modeling across biological and clinical datasets: survival analysis, mixed-effects models, longitudinal data analysis, Bayesian inference, multiple testing correction, and interpretation of population-scale and epidemiological data.​​​​​​​​​​​​​​​​ Scientific Pipelines and Software Containerized, HPC-compatible workflows built for reproducibility, portability, and scale - in whatever language or framework your project requires. Web and Application Development Interactive dashboards, REST APIs, and research tooling designed to make complex data accessible and actionable. Training, Tutoring and Consulting One-on-one and group tutoring in data science, bioinformatics, statistics, and programming, from foundational concepts to advanced techniques. I also consult with research teams looking to build internal capacity or accelerate ongoing projects. Whether you’re looking for support with a research project, building predictive models, or streamlining your data workflows, I’m here to help. Let’s bring your data to life.

Do you need to assign staff, optimize routes, plan resources, or automate complex decisions that currently take hours of manual work? I build custom optimization engines that generate: - Daily or weekly employee schedules - Optimal delivery routes - Workload-balanced assignments - Cost-minimized plans - Resource allocation under complex constraints Using Python + OR-Tools, I build systems that reduce operational time and cost, with models tailored precisely to your business rules, constraints, and KPIs.

AI Automation Engineer specialized in chatbot development, RAG systems, and LLM-based agents. I build workflow automation tools, internal AI assistants, and production-ready applications using GPT, Mixtral, Llama, LangChain, Pinecone, FAISS, and hybrid retrieval. Top-Rated with 100% client satisfaction · Lead AI Engineer at Ainbox · Delivered 20+ production-grade AI projects - What I Build: Chatbots & LLM Apps: conversational agents, customer support bots, internal assistants RAG Systems: FAISS, BM25, hybrid retrieval, domain-specific knowledge bases AI Automation: reporting automation, multi-agent workflows, process optimization Document Intelligence: summarization, document Q&A, fine-tuning GPT/LLMs Speech AI: multilingual TTS systems, voice cloning, end-to-end pipelines Computer Vision: YOLO, CNNs, ViT-based detection and analysis - Results Delivered: Automated reporting → 15+ hours saved weekly RAG knowledge assistant → 70% faster information retrieval Vision counting system → 90% accuracy improvement Custom multilingual TTS → full production deployment - How I Work: I handle requirements, data pipelines, model integration, LLM orchestration, vector search, and deployment. Every solution is built to be maintainable, scalable, and aligned with real business ROI. If you need a reliable expert to build chatbots, automate workflows, or deploy RAG/LLM systems that actually work in production, let’s talk. Free consultation available.

⭐⭐⭐⭐⭐ 5.0/5.0 Ex-Amazon, Ex-Adobe Top 1% Expert-Vetted on Upwork —. 150+ AI projects shipped at 5/5 stars and 100% Job Success. Advisor to venture-funded AI startups. I architect production LLM agents, RAG systems, and voice AI for teams that need senior thinking and staffing. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 ✅ Multi-agent systems on LangGraph, OpenAI Agents SDK, and Google ADK — with MCP and A2A interop for tool use, memory, and cross-framework orchestration ✅ Production RAG with hybrid search, Voyage rerank-2.5 / Cohere Rerank v3.5, agentic retrieval, citation enforcement, and RAGAS evaluation ✅ Voice AI agents on LiveKit Agents + Pipecat with Deepgram Nova-3, Cartesia Sonic-3, ElevenLabs Flash v2.5 — sub-300ms end-to-end latency ✅ LLM fine-tuning and adapter training (LoRA, QLoRA, DoRA) with Unsloth, Axolotl, TRL on Llama 4, Qwen3, Mistral, DeepSeek ✅ Time-series and forecasting systems (TimeGPT, PatchTST, Prophet) for trading, demand, and operations ✅ Computer vision and generative imaging/video (SAM 3, YOLO26, Flux, Veo 3.1, Kling 3.0, Runway Gen-4.5) 𝟮𝟬𝟮𝟲 𝗦𝗧𝗔𝗖𝗞 GPT-5.5, Claude Opus 4.7 / Sonnet 4.6, Gemini 3 Pro, Llama 4, DeepSeek V3.2 · LangGraph, OpenAI Agents SDK, Google ADK, Pydantic AI, DSPy · LlamaIndex, Haystack · pgvector, Qdrant, Pinecone, Weaviate, Milvus · LangSmith, LangFuse, Arize Phoenix · vLLM, SGLang for self-hosted inference · AWS Bedrock, Azure AI Foundry, Vertex AI · Python, FastAPI, Node.js, TypeScript, Next.js · MCP servers and A2A agent communication 𝗕𝗘𝗬𝗢𝗡𝗗 𝗧𝗛𝗘 𝗖𝗢𝗗𝗘 I bring senior product and people leadership — having managed engineering organizations approaching a thousand people and led products from idea to end-of-life. I speak on AI and entrepreneurship at conferences and podcasts, and advise venture-funded AI startups on architecture, hiring, and go-to-market. 𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦 ▸ Top 1% on Upwork — Expert-Vetted, Top Rated Plus, 100% Job Success Score ▸ 150+ AI projects shipped at 5/5 stars ▸ Ex-Amazon, Ex-Adobe, Ex-Accenture ▸ Mentor and advisor at multiple venture-funded AI startups ▸ Speaker and panelist on AI and entrepreneurship ▸ Founding partner at a boutique AI engineering studio — Frankfurt and US team 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Senior engineering and architecture only. Engagements typically begin with a paid 1–2 week discovery sprint to scope architecture, model selection, and milestones — then fixed-scope delivery with weekly demos. I work async-friendly across EU and US time zones and turn down work that doesn't merit senior attention. If you're shipping AI to production and need an architect who's done it 150+ times, message me with what you're building.

🌟 Profile Overview I’m a seasoned statistician and quantitative developer with a strong academic foundation and hands-on experience in algorithmic trading, statistical modeling, and data science. 🎓 Education • PhD (ABD) in Biometry • MS in Statistics University of Illinois at Urbana-Champaign 📊 Current Role Lecturer in Business Statistics and Developer of Automated Quantitative Trading Systems 💼 What I Do I specialize in designing and implementing trading algorithms for Forex, Futures, and Crypto markets, leveraging strategies such as: • Trend Following • Momentum • Mean Reversion • Statistical Arbitrage • Breakout Strategies …and more. My work integrates advanced statistical techniques with robust programming to deliver high-performance, data-driven solutions. 🧠 Technical Expertise Programming & Tools • Languages: C#, Python, R • Statistical Packages: SAS, SPSS • Databases & Querying: SQL and related tools Modeling & Machine Learning • Regression: Linear, Nonlinear, Logistic • Hierarchical & Mixed Models • Support Vector Machines (SVM), Random Forests • Bayesian Modeling • Unsupervised Learning & Clustering • Data Visualization & Dashboarding Experimental Design • Balanced Incomplete Block Designs • Split-Plot & Repeated Measures ANOVA • Factorial & Incomplete Factorial Designs 🗣️ Communication & Collaboration I pride myself on clear communication, making complex statistical concepts accessible to diverse audiences. Whether you're a startup founder, hedge fund manager, or academic researcher, I tailor my approach to meet your needs. 🚀 Let’s Work Together If you're looking for a data-driven partner who combines academic rigor with real-world experience, I’d love to collaborate. Let’s turn your data into actionable insights and your ideas into reality.

Are you looking for a well-trained AI & Machine learning Engineer who can take advantage of the data you have to boost the growth of your business? When done right, machine learning and deep learning can help you make the state of the art products that can help you better serve your customers, increase sales, and cut costs. However, it's difficult to find well-trained AI & Machine learning Engineers because the majority of them are working for big technical and financial companies. It's more challenging to see AI & Machine learning Engineers who are creative and have solid communication and project management skills. That's where I come in. I specialize in developing AI & Machine learning Engineer and deep learning solutions for startups, individuals, and small businesses. I have experience working in: - Artificial intelligence software, mobile, and web applications. - Computer Vision applications such as image classification, image classification with localization, Object Detection, Object Recognition, Object Segmentation, Image Style Transfer, Image Colorization, Image Reconstruction, Image Super-Resolution, and Image Synthesis. - Natural Language Processing applications such as Machine translation, Speech Recognition, Sentiment analysis, Question Answering, Automatic Summarization, Chatbots, Market Intelligence, Text Classification, Character Recognition, and Spell Checking. - Reinforcement learning algorithms, Q-learning, State-Action-Reward-State-Action, Deep Q Network (DQN), Deep Deterministic Policy Gradient (DDPG), counterfactual Regret Minimization, Model-free, and Model-based agents, On-policy and Off-policy agents. - Artificial intelligence applications in finance like credit/trading, credit/sales, rates/trading, foreign exchange/trading, cash/trading, derivatives/sales, identify trades/portfolio construction, monitor trades and trading bots. - Python, Javascript, Java, Tensorflow, Keras, OpenAI Gym, sci-kit learn, Matplotlib, Numpy, Pandas, HTML, CSS, WordPress, Javascript, Java, AWS, Azure, and Google Cloud. I believe in creating value from day one. when you hire me I will provide: - daily update - weekly reports - 7 days a week on-call support - Line-by-line commented code - Documentation - Revisions I would love to hear about your machine learning and deep learning problems and see how I can help solve them. So, connect today and I will get back to you within 1 hour. Thanks.

If your AI system is slow, expensive to run, or breaks under real load - that's not an AI problem. That's an architecture problem. I'm an AI Developer with 10+ years of experience building production-grade intelligent systems: LLM-powered platforms, automation pipelines, AI Agents, and Machine Learning infrastructure that runs reliably at scale - not just in demos. Our team has delivered 250+ AI and SaaS products across 45 countries, logging 15,000+ hours of hands-on AI Development. We don't prototype and disappear. We build systems that handle real data, real concurrency, and real business logic - then stick around to make sure they stay stable. What I build: AI Agents & Automation - autonomous agents for sales, support, document processing, and internal workflows. Custom-built, not no-code wrappers. As an AI Developer, I design agent logic that actually handles edge cases instead of failing silently when input doesn't match the happy path. Whether it's a copilot embedded in your SaaS platform or a multi-step orchestration pipeline, the agent works the way your business actually operates - not the way a demo script assumes it does. LLM Integration & RAG Pipelines - OpenAI, Gemini, Claude, and open-source models connected to your data through vector databases and retrieval-augmented generation. Accurate outputs, controlled token costs, and fallback logic built in from day one. I've shipped RAG systems that stay accurate at scale, not just on the first 50 queries. Machine Learning Systems - model integration into web platforms, predictive analytics pipelines, structured inference workflows, and Python-based AI backends. Machine Learning that serves real users under real load, not just Jupyter notebooks with clean data. I design the full data flow: preprocessing, inference, monitoring, retraining triggers - so your Machine Learning system improves over time instead of drifting silently. AI System Architecture - full infrastructure design for AI-powered SaaS, CRM, and enterprise platforms. Microservices, secure backend connectivity, scalable deployment pipelines. Built by an AI Developer who's seen what breaks in production and designs around it before it becomes a 2am incident. Optimization & Production Stability - latency reduction, token cost control, monitoring, logging, concurrency handling, and fallback strategies. I've cut inference latency by 45% and reduced manual operations by 60%+ on systems that were already live and struggling under load. How I work: Before writing a line of code, I map your automation logic, data sources, model requirements, and scalability assumptions. I want to understand the business workflow behind the AI feature - not just the API call. Then I design an architecture that fits your actual product, not a copy-paste structure from the last project. I also pay close attention to cost. Machine Learning inference and LLM token usage add up fast when nobody's watching. Every system I deliver includes cost monitoring, usage caps, and optimization strategies - so your AI budget stays predictable as you scale. Every AI Developer on our team writes production-ready code: documented, modular, and built to be maintained by someone who wasn't in the original planning call. Milestones are real deadlines, not rough estimates. You'll know exactly what's done, what's next, and what's blocking - before it becomes your problem. If something about the requirements doesn't add up technically, I'll say so before we start - not three weeks into the build. Results our clients have seen: ↑ 62% reduction in manual document processing through AI Automation ↑ 55% faster AI-powered data processing ↑ 45% latency reduction after Machine Learning pipeline optimization ↑ 50% improvement in automation efficiency ↓ 40% fewer operational bottlenecks through intelligent automation ✓ AI systems scaled to enterprise load without architecture rewrites ✓ LLM integration deployed to production with monitoring and cost controls Industries: FinTech · Healthcare · SaaS · EdTech · eCommerce · B2B Enterprise · AI Products Ready to build an AI system that holds up in production? → I'll review your requirements carefully — not skim them → I'll ask the questions that reveal the real architecture challenges → You'll get a clear technical plan, honest scope, and milestone breakdown → If I'm not the right AI Developer for your project — I'll tell you that directly No vague proposals. No oversold demos. Just structured AI Development delivered by an AI Developer who gives a damn about whether it works at scale. 👉 Hit Invite to Job or send me a message - I'll respond within a few hours.