Dhiraj Patra
Driven by a strong sense of ownership and a disciplined approach honed through extensive NCC and army training, I excel in demanding environments where ambitious projects require more than a typical "employee" mindset.
I am a focused technology leader committed to tackling critical challenges with diligence and delivering the highest quality results, consistently achieving near 100% success.
Leveraged 28+ years of experience to architect and deliver high-impact projects across these sectors, demonstrating technological versatility with EDGE, GCP, AWS, and Azure, and an entrepreneurial approach to solving high-stakes challenges.
Consistently translated ambitious ideas into scalable, real-world solutions, delivering measurable outcomes in record time across a wide range of industries, showcasing adaptability and a proven ability to drive significant impact.
With two decades of Cloud Architecting, including 8+ years for AI applications, I design, develop and help to deploy scalable, secure, and efficient cloud infrastructures that support the development and deployment of AI models. My Data Science and Analytics experience enables me to collect, analyse, and interpret complex data sets, uncovering insights that inform business decisions and drive growth.
Professional Experience:
As a Cloud Native Architect for AI, GenAI applications, I design, develop and deploy scalable, secure, and efficient cloud infrastructures that support the development and deployment of AI models. My experience in Data Science and Data Analytics enables me to collect, analyze, and interpret complex data sets, uncovering insights that inform business decisions and drive growth.
AI/ML, GenAI, and LLM:
- Fine-tuning and customizing pre-trained AI/ML models from leading providers such as OpenAI, Gemini, LLaMA, Phi, Florene, Gemma, Anthropic, Google, Cohere, MistralAI, and TogetherAI.
- Proficient in developing intelligent conversational AI bots, Agentic AI, MCP server and local copilot applications using Agents, RAG and Graph knowledge base.
- Expertise in handling diverse datasets, integrating AI solutions, and maintaining optimal performance.
- Strong background in AI, NLP, and ML technologies with a proven track record of delivering high-performance AI solutions.
- Advanced data analysis using Python, R, pandas, numpy, graph, and Jupyter notebooks.
- Machine learning model development and evaluation with scikit-learn, TensorFlow, and PyTorch.
- Data visualization and storytelling with tools like Matplotlib, Seaborn, Plotly, and Power BI.
- Strong proficiency in SQL for data manipulation, extraction, and reporting.
- Data Pipelines: Creation using Python, pandas, pyspark, SQL Server.
- REST APIs: With Flask, FastAPI, Django, paho, celery, GraphQL, SQL queries with SQLAlchemy, psycopg.
- Protocols: MQTT, AMQP, CoAP, Zigbee, and HTTP.