Enthusiastic and driven Data Engineer with a strong foundation in data modeling, ETL pipeline development, and data security. Proficient in SQL, Python, and cloud-based tools such as Snowflake, Matillion, and AWS S3. Skilled at collaborating cross-functionally to deliver scalable, data-driven solutions. Passionate about leveraging data to drive business insights and actively seeking opportunities to deepen expertise in data architecture and advanced analytics.

𝑨𝑰 𝑭𝒖𝒍𝒍-𝑺𝒕𝒂𝒄𝒌 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓 | 𝑳𝑳𝑴, 𝑹𝑨𝑮, 𝑨𝒈𝒆𝒏𝒕𝒔, 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑽𝒊𝒔𝒊𝒐𝒏 | 𝑺𝒂𝒂𝑺 & 𝑨𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏 I build end-to-end AI-powered products — from backend systems to intelligent features like LLMs, RAG pipelines, AI agents, and automation workflows — designed for real-world SaaS applications. If you’re looking to turn AI into a reliable, production-ready system (not just demos), I help you design, build, and scale it. --- ⚙️ What I Specialize In 🧠 LLM Applications & RAG Systems * Retrieval-Augmented Generation (RAG) pipelines (vector DB + embeddings + retrieval) * LLM integrations (OpenAI, Anthropic, open-source models) * Context-aware chat systems with memory and tool usage * Prompt engineering + evaluation + cost optimization 🤖 AI Agents & Automation * Multi-step AI agents (tool calling, workflows, decision systems) * Autonomous pipelines for data processing, scraping, and actions * Workflow orchestration (async jobs, queues, event-driven systems) * AI-powered automation for business operations 💬 Chatbots & Conversational Systems * Custom AI chatbots (web apps, SaaS dashboards, APIs) * Multi-modal interactions (text + images + documents) * Integration with Slack, WhatsApp, web platforms * Conversation memory, context tracking, and user personalization 👁️ Computer Vision (CV) * Image classification, object detection, OCR pipelines * OpenCV, deep learning models (PyTorch/TensorFlow) * Real-time video/image processing systems * AI pipelines for document and visual data analysis 🚀 Full-Stack SaaS Development * Backend: Python (FastAPI), Node.js * Frontend: React / Next.js, Vue.js * Databases: PostgreSQL, Supabase, vector DBs (Pinecone, Weaviate, FAISS) * Scalable architecture for AI-driven SaaS platforms --- 🧠 Engineering Approach * Build AI systems that are deterministic where needed, flexible where useful * Focus on latency, cost, and scalability (critical for LLM apps) * Design modular architectures so your product evolves easily * Prioritize real-world usability over experimental prototypes --- 🌐 Typical Use Cases * AI copilots for SaaS platforms * Document processing & knowledge retrieval systems (RAG) * AI-powered automation tools & internal workflows * Smart chatbots for customer support or operations * Computer vision pipelines for detection, OCR, and analytics --- 🛠️ Tech Stack (AI-Focused & High-Impact) 🔹 AI / LLM / ML * OpenAI API, Anthropic (Claude), open-source LLMs * LangChain, LlamaIndex * RAG architecture (embeddings, chunking, retrieval strategies) * Prompt engineering, evaluation pipelines * PyTorch, TensorFlow, Hugging Face --- 🔹 Data & Vector Systems * PostgreSQL, Supabase * Vector DBs: Pinecone, Weaviate, FAISS, Chroma * Data pipelines (ETL, cleaning, transformation with Pandas) --- 🔹 Backend & APIs * Python, FastAPI * Node.js (optional) * REST APIs, WebSockets * Async processing, background jobs --- 🔹 Frontend * React, Next.js * Vue.js * AI chat interfaces & dashboards --- 🔹 Automation & Infra * Docker, CI/CD * Cron jobs, queues, event-driven systems * Cloud: AWS, Railway, Vercel --- 🚀 What You Can Expect * Production-ready AI systems (not just prototypes) * Clear architecture + scalable backend * Fast iteration with strong communication * Focus on business value, not just AI hype --- If you're building an AI-powered product and need someone who can handle both the AI layer and the full-stack system, I can help you ship it.

• Data Engineer with 4+ years of experience designing and delivering scalable batch and near real-time data pipelines across healthcare and banking domains. • Experienced in building modern ELT architectures using AWS, Azure, Snowflake, dbt, Spark, and Kafka, processing multi-million record datasets for regulatory, risk, and analytics use cases. • Hands-on exposure to real-time stream processing using Apache Flink for event-driven data pipelines and low-latency analytics in financial data platforms. • Strong background in multi-cloud data platforms, leveraging AWS for ingestion and storage and Azure for analytics workloads within regulated financial environments. • Proficient in developing dimensional data models including fact/dimension tables, surrogate keys, and SCD Type 2 implementations to support compliance and enterprise reporting. • Hands-on experience implementing data quality frameworks, dbt testing (unique, not-null, referential integrity), and reconciliation checks to improve data reliability and reporting accuracy. • Strong programming expertise in Python and SQL, building reusable data processing modules, optimizing Spark transformations, and developing maintainable pipeline logic for production environments. • Enabled early-stage AI/ML initiatives by building curated feature datasets and supporting fraud detection and transaction monitoring workflows. • Comfortable operating in HIPAA- and AML-regulated environments, applying RBAC, encryption, CI/CD practices, and Agile delivery models to ensure secure and reliable data solutions.

Need fast, reliable data pipelines? I’m a Databricks Certified Cloud Data Engineer who helps businesses build scalable and cost-effective data platforms using tools like Databricks, Apache Spark/Flink, AWS Glue, EMR, and Microsoft Fabric. I’ve delivered real-time pipelines, led cloud migrations, and helped reduce ETL costs by up to 90%. I’d be happy to provide a 2-minute consulting video showcasing how I’d approach your project — completely free. Just share the details, and I’ll get started!

As a Data Engineer and Business Intelligence professional, I specialize in transforming raw data into actionable insights. With experience in data warehousing and ETL development, I excel at creating scalable data pipelines and delivering robust analytics solutions using tools like Azure Data Factory, Snowflake, and SQL Server. I am skilled in SQL optimization and Power BI reporting, enabling organizations to make data-driven decisions efficiently. My expertise includes crafting data mart models from data lakehouses, ensuring your data architecture is both efficient and effective. If you're looking for a knowledgeable partner to improve your data strategy and streamline your reporting processes, let's discuss how I can contribute to your success.

SUMMARY Results-driven Senior Data Engineer with extensive expertise in SQL, Python, and AWS services, bringing a proven record of success in designing and managing high-performance data pipelines, centralizing data warehouses, and executing complex ETL processes. Skilled in Docker, Airflow, Boomi, Matillion, Fivetran, Segment, Improvado, and Census, with a strong aptitude for leading migration projects and implementing scalable, self-service reporting solutions. Known for effective leadership and project management, consistently delivering strategic data solutions that enhance efficiency and support informed decision-making. TECHNICAL SKILLS: SQL (Oracle, MySQL, PostgreSQL), Python (scikit-learn, numpy, scipy, pandas, seaborn, matplotlib), Bash Script, AWS (EC2, RedShift, RDS, Lambda, Glue, DMS, S3, SNS, SQS), SoapUI, DBT, Airflow , Boomi, Matillion, Fivetran, Segment, Improvado, Census, Looker

I’m a Data Engineer with 4+ years of hands-on experience working with Snowflake, DBT, SQL, and AWS. I help startups and businesses build, fix, and optimize data pipelines so their data is clean, fast, and ready for analytics. * What I Can Help You With Snowflake data warehouse design (fact & dimension tables) DBT model development (incremental models, tests, documentation) SQL transformations and performance tuning Fixing broken or slow ETL/ELT pipelines Snowflake cost and query optimization * Tools & Technologies Snowflake, DBT SQL, Python (basic ETL support) AWS / Azure Git, CI/CD (DBT) * Why Work With Me? Clear communication & on-time delivery Production-level experience (not just sample projects) Clean, scalable, and well-documented code Focused on business logic, not just writing SQL If you’re looking for someone who can own your Snowflake or DBT work end-to-end and deliver reliable results, let’s connect and discuss your project.

Detail-oriented data professional with a strong background in collaboration and team management. Skilled in driving continuous improvement and tackling challenges. Committed to becoming an exceptional data engineer and contributing expertise to the success of the team.

Hello! I'm Abdul Qadeer, a dedicated and results-driven Machine Learning Engineer, Data Scientist and Data Analyst with extensive expertise in natural language processing, deep learning, and data science. With a solid background in developing and deploying machine learning models, I specialize in transforming data into actionable insights to drive business success. Why Choose Me? 1. Expertise in Machine Learning and AI: I excel in building and fine-tuning predictive models, developing algorithms for classification, regression, and clustering tasks, and implementing deep learning architectures using TensorFlow, CNNs, RNNs, LSTMs, and GRUs. 2. Proficient in Data Visualization and Analysis: I leverage tools like Microsoft Power BI, Tableau, Matplotlib, Seaborn, and ggplot2 to create interactive dashboards and insightful visualizations that aid in data-driven decision-making. 3. Advanced Data Manipulation Skills: My proficiency in Python, C/C++, Java, and SQL allows me to clean, preprocess, and engineer features from raw data, ensuring high-quality datasets for robust model training. 4. Cloud and Frameworks Expertise: With hands-on experience in AWS, Microsoft Azure, Flask, Django, Streamlit, and Gradio, I can deploy and manage applications seamlessly in cloud-based environments. 5. Generative AI and NLP Specialization: I have a strong command of transformer-based models, GANs, and other generative AI techniques. Additionally, I am skilled in NLP tasks such as text classification, sentiment analysis, and language generation using libraries like NLTK, spaCy, Gensim, and Transformers. 6. Large Language Models: I have extensive experience developing and fine-tuning large language models, including GPT-3, LLAMA 2, and other state-of-the-art models. My expertise includes model deployment using frameworks such as Streamlit, Django, Flask, and Gradio on cloud platforms like AWS and Microsoft Azure. Highlighted Projects: - Langchain (LLM) Application Projects: Developed cutting-edge applications including RAG for PDF chat retrieval, multilingual invoice extractors, and blog generation systems using LLAMA 2. - Image Captioning: Achieved state-of-the-art results with an Encoder-Decoder model and Loung attention, enhancing user experience through precise image region focus. - Corporate Bankruptcy Prediction: Created a web application for predicting corporate bankruptcy using Logistic Regression and Naive Bayes, achieving 95% accuracy. - IntelliChecker: Built a web-based essay evaluation tool using deep learning and NLP, significantly improving academic essay assessment with 92% grammatical error detection accuracy. Complete Stack Technologies: - Programming Languages:C/C, Python, Java, SQL - Machine Learning: TensorFlow, ScikitLearn, Pandas, Numpy - Deep Learning: CNN, RNN, LSTM, GRU, Transformer-based models - Data Visualization: Matplotlib, Seaborn, ggplot2, Microsoft Power BI, Tableau, Qlik Sense - Data Manipulation and Cleaning: Data cleaning, Data preprocessing, Feature engineering - Generative AI: VAE, GAN, Conditional GAN, CycleGAN, Progressive GAN - Langchain: Chatbots, Question-Answering, Content Generation, Summarizers - NLP Libraries: NLTK, spaCy, Gensim, TextBlob, Transformers (from Hugging Face) - Frameworks: Flask, Django, Streamlit, Gradio - Cloud Platforms: AWS, Microsoft Azure - Data Extraction: API Integration, Web Scraping Certifications: - Data Scientist Professional with Python (DataCamp) - Machine Learning Specialization (Coursera) - Deep Learning Specialization (Coursera) - Microsoft Power BI Data Analyst Professional Certificate (Coursera) - Tableau Business Intelligence Analyst Professional Certificate (Coursera) - Natural Language Processing Specialization (Coursera) Let's Collaborate! Whether you need advanced data analysis, predictive modeling, AI-driven solutions, or large language model expertise, I can help you achieve your goals. Let's transform your data into powerful insights and drive your business forward. Contact me today to discuss your project needs! Abdul Qadeer Your Trusted Machine Learning Engineer, Data Scientist, and Data Analyst

I am a Senior Data Engineer with over 5 years of experience specializing in designing and implementing enterprise-scale cloud data solutions. My expertise includes developing robust data warehouses, real-time ingestion pipelines, and advanced analytical frameworks across banking, finance, and logistics sectors. I excel in tools such as Snowflake, Databricks, and Apache Kafka, focusing on performance tuning and scalable architecture. I have a successful track record of employing Medallion architecture and complex data modeling to streamline data processes. As a Technical Lead, I drive cross-functional teams, ensuring effective sprint planning and clear stakeholder communication. If you're looking for an engineer who can transform your data strategy into actionable insights, let's connect and discuss how I can elevate your project to new heights.