Skills & Stack
Technical Expertise
20+ years of hands-on engineering across the full AI and enterprise technology stack.
AI & Machine Learning
LLM Fine-tuning (OpenAI, Llama, Mistral)
Adapt foundation models to your domain using your own data — better accuracy than generic prompting alone.
Retrieval-Augmented Generation (RAG)
Pair live knowledge retrieval with LLMs to ground answers in facts and eliminate hallucinations.
NLP & Text Classification
Extract intent, sentiment, and structure from unstructured text at scale.
Computer Vision
Analyze images and video streams using convolutional and transformer-based neural networks.
ML Model Evaluation & Safety
Benchmark, red-team, and monitor deployed models so outputs stay reliable and compliant.
Prompt Engineering
Craft system and user prompts that consistently produce high-quality, predictable model responses.
Cloud & Infrastructure
AWS (Solutions Architect Pro)
Certified advanced cloud design for enterprise-scale, resilient, cost-optimized AWS deployments.
Google Cloud Platform (Vertex AI)
Managed ML platform for end-to-end model training, deployment, and monitoring on GCP.
Azure OpenAI Service
Enterprise-grade GPT-4 and embedding APIs within your own private Azure tenant.
Kubernetes & Docker
Container orchestration for self-healing, auto-scaling microservices in any cloud or on-prem.
Terraform & Infrastructure as Code
Version-controlled, reproducible infrastructure provisioning across AWS, GCP, and Azure.
Cost Optimization & FinOps
Reduce cloud spend 20–40% through right-sizing, reserved capacity, and automated idle shutdown.
Data Engineering
Vector Databases (Pinecone, Weaviate, pgvector)
High-speed semantic search across billions of embeddings for RAG and recommendation systems.
Apache Kafka & Spark
Real-time streaming and large-scale batch processing for mission-critical data pipelines.
dbt & Data Transformation
SQL-first data modeling with version control, automated testing, and lineage documentation.
PostgreSQL, MongoDB, Redis
Relational, document, and in-memory data stores matched to the right workload for each use case.
Real-time Data Pipelines
Sub-second delivery from data source to model to dashboard — zero batch lag.
Data Governance & Quality
Access controls, lineage tracking, and SLA-backed data contracts across every data product.
Software Engineering
Python (Expert)
Primary language for AI/ML, data pipelines, automation scripts, and backend services.
TypeScript / Node.js
Strongly-typed full-stack JavaScript for high-throughput APIs and modern web applications.
FastAPI & Django
Async-first APIs with FastAPI for speed; Django for batteries-included enterprise web apps.
RESTful & GraphQL APIs
Well-documented, flexible interfaces that any frontend, partner, or data consumer can call.
Microservices Architecture
Independently deployable, loosely coupled services for maximum team velocity and fault isolation.
CI/CD & DevOps
Automated pipelines from code commit to production in minutes with rollback on failure.
Certifications & Recognition
AWS Solutions Architect
Professional
Validates advanced design of complex, enterprise-grade systems on AWS including multi-region and hybrid architectures.
Google Cloud Professional
ML Engineer
Certified to design, build, and productionize ML models and pipelines on Google Cloud Platform.
Azure AI Engineer
Associate
Designs and implements AI solutions using Azure Cognitive Services, Bot Service, and Azure OpenAI.
Stanford AI Certificate
Graduate Program
Graduate-level coursework in ML theory, deep learning, AI ethics, and real-world applications.