Most AI projects don't fail because of bad code — they fail because nobody checked if the results can actually be trusted. I build and validate intelligent systems: agentic pipelines, LLM-powered workflows, and the evaluation frameworks that make them safe to act on. My work sits at the intersection most engineers avoid: where technical results meet real-world accountability. Recently, my focus has expanded into agentic AI engineering and AI security — designing multi-agent systems with built-in quality loops, hallucination detection, bias auditing, and compliance filters. I don't just build pipelines; I build pipelines that check themselves. I've worked across computer vision, NLP, OCR pipelines, and clinical/academic research — including cell classification, ASR data, and publication-ready statistical analysis. Where I add the most value: — You need an agentic system that produces outputs you can actually trust and act on — You have a model or dataset and need to know if it's reliable before it goes anywhere near a decision — You're writing a thesis, paper, or clinical report and need analysis that survives peer review — Your stakeholders need to understand what the AI actually found — and what it didn't — You need an honest assessment of where your AI system could fail, be gamed, or cause harm I'll tell you honestly if ML isn't the right solution for your problem. That's rarer than it sounds. Core skills: Agentic AI Engineering · LLM Systems & Evaluation · AI Security & Governance · Hallucination & Bias Detection · ML Validation & Evaluation · Healthcare & Academic Data Analysis · NLP · Computer Vision · Statistical Analysis · AI Risk Assessment · Research Reporting Tools & Technologies Agentic & LLM Systems: LangGraph · LangChain · Groq · OpenAI · Pydantic · FastAPI AI Security & Governance: Hallucination detection · Bias auditing · Compliance filtering · Adversarial input testing Validation & Evaluation: MLflow · Weights & Biases · Arize AI · SHAP · LIME · Fairlearn · Great Expectations ML & Deep Learning: Python · PyTorch · TensorFlow · Scikit-learn · Keras Data & Statistics: R · IBM SPSS · Pandas · NumPy · SciPy · Statsmodels NLP & Computer Vision: Hugging Face Transformers · NLTK · OpenCV Data Quality & Pipelines: Great Expectations · DVC · Pandas Profiling Visualization & Reporting: Power BI · Matplotlib · Seaborn · Plotly Cloud & Infrastructure: AWS · GCP · Google BigQuery · Azure

As an ardent advocate at the forefront of Machine Learning and Data Science, I thrive on the leading edge of Generative AI 🧠 and optimization models. My journey in this dynamic arena is propelled by an unwavering commitment to innovation, shaping data products that transcend conventional boundaries and exceed business benchmarks. My greatest strength lies in the integration of automation 🤖, machine learning, and data science principles, meticulously tailored to address real-world business imperatives. I don't just deliver solutions; I devise game-changing strategies that catapult businesses ahead of their competitors 🚀. With my expertise, data becomes an indispensable asset 🔨, unlocking unparalleled opportunities for growth and achieving unprecedented success 🌟.

I build intelligent AI systems that go beyond experiments and deliver real, production-ready business value. I specialize in Python, NLP, LLM integration, RAG pipelines, and autonomous AI agents that can reason, automate, and act. I have expertise in designing end-to-end AI architectures, deploying scalable machine learning systems, and building automation-driven solutions that improve efficiency, decision-making, and user experience. Services I Offer: - AI/ML Model Development in Python - Natural Language Processing (NLP) Solutions - LLM Integration (OpenAI, Claude, open-source models) - Retrieval-Augmented Generation (RAG) Systems - AI Agents Development & Automation Workflows - Chatbot Development (Smart, context-aware bots) - Data Preprocessing & Feature Engineering - Model Fine-tuning & Optimization - API Development for AI Systems (FastAPI/Flask) - AI System Deployment (Cloud / Server Integration) Skills: - Python | Machine Learning | Deep Learning | NLP | LLM Integration - RAG Systems | AI Agents | LangChain | Hugging Face | Prompt Engineering - FastAPI | Flask | REST APIs | AI Model Deployment | Backend Development - Pinecone | FAISS | Vector Databases | Data Processing | Feature Engineering - TensorFlow | PyTorch | OpenAI API | Claude API | Automation Systems Industries Served: - SaaS & Software Products - E-commerce Automation - Healthcare AI Solutions - Finance & Fintech Systems - Education & E-learning Platforms - Marketing & Content Automation - Customer Support Automation - Business Intelligence & Analytics Ready to bring your AI project to life? Let’s discuss it over a Zoom call or chat so I can build a scalable, production-ready solution.

🌟 Supply Chain Data Scientist | Forecasting & Optimization Specialist 🌟 🔹 6+ Years of Experience in Supply Chain Analytics & Data Science 🔹 Hello! I’m a dedicated Supply Chain Data Scientist with a strong track record of delivering data-driven solutions to enhance and optimize supply chain efficiency. With expertise in demand forecasting, inventory optimization, supply planning, and predictive modeling, I’ve successfully helped businesses make smarter, faster decisions. 📈 Key Expertise: Inventory Optimization 🛠️: Skilled in optimizing reorder points, safety stock, MOQ, and EOQ strategies for streamlined inventory management. Demand Forecasting & Supply Planning 📊: Developing and deploying robust forecasting models that align resources with market demand fluctuations, ensuring seamless operations. Forecast Accuracy Improvement 🔍: Leveraging error metrics and historical analysis to enhance forecast accuracy and improve planning reliability. Optimization & Linear Programming 🔄: Skilled in solving complex optimization problems using advanced mathematical and linear programming techniques. 💻 Tools & Technologies: Python 🐍: Pyomo, CVXOPT, pandas, scikit-learn, PuLP, matplotlib, seaborn, scipy, statsmodels, NumPy, plotly, supplychainpy, Prophet, TensorFlow R 📐: forecast, tidyverse, ggplot2, dplyr, caret, prophet, timetk, data.table Power BI 📊: Advanced DAX for interactive visualizations, data modeling, and KPI dashboards. SQL & Excel/Google Sheets 📂: Proficient in SQL for database manipulation and Excel for advanced analysis, data cleaning, and visualization. Flask 🌐: Building scalable and interactive Python web apps to deploy analytics solutions. What You Can Expect Working with Me: Data-Driven Solutions: I transform complex data into clear, actionable insights. Reliability: My methods are designed to meet both short- and long-term business objectives. Attention to Detail: I work meticulously to ensure accurate, high-quality results that clients can rely on. Let’s bring clarity and efficiency to your supply chain with advanced analytics and optimization. Feel free to reach out—I’d love to discuss how I can help drive value for your business! 🌟

With 6+ years of experience in Data Science, Machine Learning, and Python development, I specialize in solving real-world business problems from data cleaning to deploying intelligent models. What I can help you with : -End-to-end Data Science projects (EDA → Modeling → Deployment) -Machine Learning models (prediction, classification, forecasting) -NLP solutions (text analysis, document understanding, automation) -LLM-based applications (ChatGPT, document extraction, summarization) -PDF & document data extraction (OCR, structured pipelines) ->Time Series forecasting and trend analysis ->Data visualization (Tableau, Python dashboards) ->Data cleaning, transformation, and feature engineering (large datasets) Technical Expertise: -Python (Pandas, NumPy, Scikit-learn, TensorFlow) -R programming -NLP: NLTK, SpaCy, Scikit-learn -LLMs & Generative AI (ChatGPT, prompt engineering) -OCR & PDF tools: Tesseract, PDFPlumber, PyPDF2 -Tableau & data visualization What makes me different: I specialize in working with messy, real-world data and documents, not just clean datasets Experience handling large-scale data (10M+ records) without performance issues Combine LLMs + traditional ML + data engineering to deliver complete solutions Focus on usable outcomes, not just models or code Permanent Freelancer Always available 24X7.

I help businesses turn messy data into clean, reliable insights. If you have CSV, Excel, or PDF data that needs cleaning, analysis, or visualization, I can help you get accurate results quickly and clearly. What I can help you with: * Data cleaning (missing values, duplicates, formatting) * Exploratory Data Analysis (EDA) * Python (Pandas, NumPy) analysis * Excel / CSV / PDF to structured data * Charts and summary insights * Simple dashboards and reports How I work: - Understand your goal before starting - Clean and validate data carefully - Share clear charts and explanations (non-technical if needed) - Deliver on time with clean, reusable files Tools: * Python (Pandas, NumPy, Matplotlib), Excel, SQL, Jupyter Notebook I’m responsive, detail-oriented, and focused on getting your data right the first time. 📌 If you’re unsure about the task, feel free to message me — I’m happy to review your data and suggest the best approach.

Software developer with a strong foundation in data structures and algorithms, specializing in high‐performance systems, optimization, and purpose‐built engineering solutions. Programming Languages • C, C++, Go • Python, Lua, Bash Libraries • Pandas, NumPy, ezdxf Client‐side • HTML, CSS, JS, TS • HTMX • React, Next.js • Hugo, Astro Server‐side • Node.js, Deno • Django, FastAPI Databases • PostgreSQL • MySQL, MariaDB • SQLite • MongoDB • Redis, DynamoDB Infrastructure • Linux • Docker, Podman • Cloudflare Tools • Git (GitHub, GitLab) • Neovim Documentation • Markdown • reStructuredText • LaTeX • Typst Productivity • Microsoft Office • Microsoft Power BI Computer‐Aided Design • AutoCAD • SOLIDWORKS • Siemens NX

Data science and investment professional with over ten years of experience. Capable of creating sophisticated machine learning, marketing, financial, valuation, and M&A models. Considerable experience with forecasting, management due diligence, and investor communications. Adept in Python, R, and SQL. CFA charter holder, TensorFlow Developer certificate holder, and a certified Financial Risk Manager. Received best stock picker award for industry coverage from Thomson/Reuters.

For the last 5 years, I have been providing the following services: ✅ Web App Backend development ✅ API development and integration ✅ Data Science/Machine Learning ✅ POC and MVP development ✅ Web automation and Scraping ✅ Scripting and Automation ✅ Bot development ✅ Deployement Working worldwide, I help customers from various business domains through coding, building a dev team, and filling expertise plus technological gaps. Here are the main industries: 🔸 Fintech 🔸 AI and machine learning 🔸 Lead Generation and campaigning 🔸 Document Processing My main tech stack: ☑️ Python ☑️ Frameworks/Modules: TensorFlow, PyTorch, HuggingFace, Keras, Sklearn, Scipy, Seaborn, matplotlib, pandas, numpy ☑️ Flask / FastAPI / Django for Web/ API Development ☑️ WebSocket: Real-time application development with Django Channels, FastAPI + WebSocket, Flask-Socketio, and Socket.IO integrations ☑️ Data Management: PostgreSQL, MySQL, MongoDB ☑️ Task Queues: Celery ☑️ Containerization: Docker ☑️ In-memory Data Store: Redis ☑️ Cloud Platforms: AWS, GCP ☑️ Frontend: HTML/CSS/JS + Reactjs, Nextjs Get in touch, invite me to your project, and let’s start cooperating!

⭐⭐⭐⭐⭐ Top Rated Plus | Engineering Manager | 13 Years Building Scalable Systems 👔 LEADERSHIP + AI DELIVERY Engineering Manager with 3+ years leading teams (10+ engineers) at Reliance Retail, backed by 10 years as Senior/Lead IC. I don't just write code—I align stakeholders, prioritize roadmaps, and deliver under pressure. ⚡ AI-AUGMENTED DEVELOPMENT I use OpenAI API, LLM integration, and AI agents to deliver 3x faster without sacrificing quality. Your project gets senior engineering judgment + AI velocity. 🛠️ TECHNICAL DEPTH • Backend: Python, Django/DRF, FastAPI, gRPC, Microservices, Celery • Data: PostgreSQL, MySQL, MongoDB, Redis, ElasticSearch • DevOps: Docker, Kubernetes, AWS/GCP, Linux/Nginx, CI/CD • AI/ML: OpenAI API, LLM Integration, AI Agent Development • Frontend: React, Redux, TypeScript 🎯 DOMAIN EXPERTISE • AgriTech: Built LivestockPro—farm management SaaS for 5-acre fish farm + 50 goats (inventory, expenses, profit analytics) • E-commerce: Backend systems at Reliance Retail & Clovia (search, recommendations, high-scale systems) • Industry 4.0: Led OT/IT connectivity for manufacturing IoT at Solulever (PLC/sensor integration) • Telecom: Led backend development for Wifog — virtual telecom platform in Sweden (core APIs, scalable backend systems) 🚀 ENGAGEMENT MODELS • Fractional Engineering Manager — Lead your team, set roadmap, deliver stability • AI-Augmented Development — Fast MVP builds, automation, AI integrations • Backend Architecture — Distributed systems, performance optimization ✅ Certified ScrumMaster® (CSM) | ✅ 100% Job Success | ✅ Long-term Partnerships 📞 Let's discuss how I can help you ship faster. 🔗 Portfolio: upendra.tech