D

Dhaval Patel

Founder

Princeton, New Jersey, United States18 yrs 1 mo experience
Highly StableAI Enabled

Key Highlights

  • 17+ years of experience in AI and Data.
  • Founder of successful AI and Data training companies.
  • Expert in building scalable data engineering solutions.
Stackforce AI infers this person is a SaaS and EdTech entrepreneur specializing in AI and Data solutions.

Contact

Skills

Core Skills

Data ScienceCorporate TrainingAi EngineeringData EngineeringBig DataSoftware Development

Other Skills

AIAgile MethodologiesApache KafkaC++Data AnalyticsData MungingDatabasesDirectXDriver DevelopmentEmployee TrainingJavaScriptLarge Language Models (LLM)No-SQLOutlier DetectionPostgres

About

I’m an AI / Data / Ed-tech entrepreneur with 17+ years of industry experience (Ex-Bloomberg, NVIDIA). At AtliQ Technologies (my AI and Data services company), we help businesses unlock growth by leveraging AI and Data. 🔧 Services Offered by AtliQ: ➡️ AI, Gen AI, and Agentic AI – Strategy & Implementation ➡️ Data Engineering & Analytics Services ➡️ Product Development & Product Discovery Tech Stack: AI & Machine Learning ➡️ LLMs: Open-source (Mistral, LLaMA, Hugging Face models), Commercial (GPT, Claude, Gemini) ➡️ LangChain, Hugging Face, RAG-based Systems, Agno, Google ADK, OpenAI ADK ➡️ No-code tools: n8n, Make.com, Google Agentspace, Zapier ➡️ Traditional ML: scikit-learn, XGBoost ➡️ Deep Learning: PyTorch, TensorFlow ➡️ Cloud ML Platforms: AWS SageMaker, Azure ML, Vertex AI, GCP Data Services: ➡️ Data Analytics: Power BI, Microsoft Stack ➡️ Data Engineering: Apache Airflow, PySpark, Kafka, Amazon Redshift, and more At Codebasics, we help individuals become job-ready AI and Data professionals through high-impact courses, bootcamps, and corporate training in: ➡️ AI, Gen AI, Agentic AI ➡️ Data Analytics ➡️ Data Science ➡️ Data Engineering What makes our training ASTRONOMICALLY effective: 1. Simple explanations with real-life analogies 2. Hands-on, industry-style project-based learning 3. Emphasis on both technical and soft skills Creative storytelling & cinematic video production that keeps learners highly engaged 📩 For corporate training, reach out to us at business@codebasics.io 🌐 For individual learners, visit codebasics.io

Experience

Codebasics

Founder @ Codebasics

Apr 2022Present · 3 yrs 11 mos · Princeton, New Jersey, United States

  • At Codebasics we help people become data professionals. We provide courses, boot camps, and corporate training on (1) data analytics (2) data science, AI, Gen AI (3) data engineering. We not only upskill people but help them become TRULY job ready by providing them mentorship on industry-level data project execution, resume and interview mentorship, etc. Our courses have the following features that make learning very effective for a learner,
  • 1) Simple explanations using the real-life analogy
  • 2) Industry-style project-based learning
  • 3) Combination of tech and soft skills
  • 4) Creative, FUN storytelling and video production that keeps a learner highly engaged
  • For Corporate training send me a message directly. For individual training visit codebasics.io
AIData AnalyticsData ScienceCorporate TrainingProject-Based Learning

Atliq technologies

Co-Founder

Apr 2022Present · 3 yrs 11 mos

  • AtliQ is a team of 70+ talented AI engineers, data scientists, software engineers, data analysts, UX designers, and product managers. We empower businesses to achieve their true potential by helping them build right data engineering, analytics and AI solutions. Drop an email to sales@atliq.ai to know more.
AI EngineeringData EngineeringData AnalyticsProduct Management

Bloomberg lp

Data Engineer

Jan 2010Mar 2022 · 12 yrs 2 mos · Greater New York City Area

  • Powering Bloomberg terminal through data engineering. Most of my experience at Bloomberg is in Data Technologies group where we build big scale systems to ingest earning estimates data, perform data munging, outlier detection, writing business rules for data quality, concept alignment across various sources, building annotation tools and ultimately pushing clean data to downstream consumers on message pipes. Used Python, C++, Linux, Big Data, Postgres, No-SQL, Apache Kafka for building robust and reliable systems.
Data EngineeringData MungingOutlier DetectionPythonC++Big Data+3

Nvidia

Software Engineer

Jan 2005Jan 2007 · 2 yrs

  • Development of DirectX drivers for NVIDIA GPUs.
Software DevelopmentDirectXDriver Development

Education

Dharmsinh Desai University

BE — Computer Science

Jan 1999Jan 2003

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