Summary:
* Results-driven GenAl Engineer with over eight years of hands-on experience architecting, developing, and automating mission-critical doud solutions.
* 1 specialize in leveraging Python, AWS Lambda, ECZ, S3, RDS, and serverless frameworks to build scalable data pipelines, real-time APis, and analytics platforms that tum raw data into strategic insights.
* A proactive problem-solver, I take ownership of end-to-end project lifecycles designing infrastructure as code, optimizing performance, and enforcing best-in-class security and cost-controls.
•I thrive in collaborative, fast-paced environments and am passionate about driving data innovation and delivering measurable business impact through Al-enabled solutions.
Technical skills & Frameworks:
Machine Learing & GenAl:
Deep Learning & NLP (BERT, GPT-4, LLaMA, MiniLM, Transformers) - any 1 Conversational Al & Chatbots (Llama-Index, LangChain, OpenAl APIS, RAG)
* Transformers & Attention Mechanisms (Self-attention, Sequence-to-Sequence, Fine-tuning for downstream-tasks)
* Experimentation (Hypothesis Testing, Confidence Intervals)
* Libraries & Frameworks (TensorFlow, PyTorch, Scikit-Learn, SpaCy, NLTK, Hugging Face Transformers, Pandas lama-index, crewAl, OpenAl, Instructor) - any of these
Data Engineering & MLOps:
•AWS & Cloud Pipelines: SageMaker, AWS Lambda, Step Functions, Serverless Framework
* CI/CD Deployment: Docker, GitHub Actions, Serverless Architecture
Software Development & Databases:
* Backend Development (Python, FastAPI)
* Graph/Vector & SQL/NoSQL Databases (ArangoDB, ChromaDB, DynamoDB, PostgreSQL)
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