AI EngineerPython • LLMs • RAG • Agents • Automation

AI that moves
beyond the demo.

I build intelligent products that connect models, trusted knowledge, business workflows, and thoughtful user experiences. The goal is not AI for attention. It is AI that saves time, improves decisions, and works reliably for real people.

Discuss an AI opportunity ↗
100+Creators supported by AI workflows
40%Reduction in content-development time
500+Users reached through improved digital workflows
ProductionAPIs, evaluation, deployment and monitoring
What I bring

Complete AI product
engineering.

I can contribute from early product thinking through backend integration, retrieval, automation, quality assurance, and production delivery.

01

Generative AI & LLM Applications

GPT-4, Claude, Gemini — product integration, prompt design, and structured outputs for real user flows.

02

AI Integration into Existing Products

Adding intelligent features to existing web and mobile products without a full rebuild or platform change.

03

Retrieval-Augmented Generation (RAG)

Connect models to trusted knowledge bases using embeddings and vector search for grounded, accurate answers.

04

Embeddings & Semantic Search

Semantic similarity, smart chunking strategies, and vector DB integration with Pinecone, Chroma, and Qdrant.

05

AI Agents & Multi-step Workflows

Autonomous agents that plan, use tools, and complete multi-step tasks reliably without constant human input.

06

n8n & Zapier Automation

No-code and low-code workflow automation connecting APIs, business data, and AI in one dependable pipeline.

07

Prompt Engineering & Structured Outputs

Structured prompts, chain-of-thought reasoning, few-shot examples, and output validation for consistent results.

08

Model Evaluation, Testing & QA

Accuracy, relevance, safety, hallucination rate, cost, and speed testing before users depend on the experience.

09

Responsible AI, Safety & Guardrails

Bias detection, content filtering, privacy-preserving design, and ethical deployment for high-trust contexts.

10

Multimodal AI Experiences

Products that combine text, image, and audio models in unified, coherent user-facing experiences.

11

AI APIs & FastAPI Services

Production Python APIs that connect models, data pipelines, and product interfaces with low latency.

12

Deployment, Monitoring & Optimisation

Production deployment, performance tracking, cost monitoring, and iterative improvement after launch.

Selected AI work

Intelligence shaped
around real needs.

Healthcare, learning, cybersecurity, creator productivity, and career growth each require a different kind of intelligent experience.

Carebrij product interface
AI healthcare • Smarter access to care

Carebrij

AI/ML Software Engineer

Carebrij helps people understand symptoms sooner and reach the right verified professional with less uncertainty. I contribute to its AI-assisted symptom assessment and patient-to-doctor matching experience, connecting a supportive interface with dependable Python services behind the scenes.

AI/LLM IntegrationFastAPIPythonReactTypeScript
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Sentra AI Labs product interface
AI cybersecurity • Guided protection

Sentra AI Labs

AI Engineer

Sentra makes online security feel less intimidating. Its AI agent translates risks into clear guidance, helps people understand what matters, and turns uncertainty into practical next steps they can act on with confidence.

AI AgentsLLM IntegrationCybersecurityReact
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Socraticos product interface
AI learning • Personal tutor agent

Socraticos

AI Engineer

Socraticos helps learners arrive at answers through thoughtful questions instead of simply handing them solutions. I shaped it as a patient AI tutor that uses conversational guidance to build understanding, curiosity, and confidence.

AI Tutor AgentLLM IntegrationConversational LearningReact
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Genalyze product interface
AI automation • Creator production

Genalyze

AI Engineer & Software Developer

Genalyze helps more than 100 creators turn ideas into finished digital work faster. I built Python and TensorFlow pipelines, strengthened LLM prompts and validation, and helped reduce content-development time by 40% so users could focus on creating rather than repetitive production work.

PythonTensorFlowLLM WorkflowsPrompt EngineeringValidation
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Career Nest product interface
AI-powered career growth • Founder-led product

Career Nest

Founder & Lead Software Engineer

Career Nest helps ambitious students and professionals move from uncertainty to opportunity through personalized roadmaps, expert mentorship, practical resources, and relevant jobs. I lead the vision, product direction, team, and delivery while shaping intelligent guidance that makes each career journey more personal and actionable.

AI MentorshipProduct LeadershipReactSupabase
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How I deliver

A disciplined path
to dependable AI.

Strong AI products come from clear goals, good data, careful evaluation, and ongoing improvement, not only a powerful model.

01

Understand

Define the decision, task, or customer experience AI should improve before choosing a model.

02

Connect

Integrate the right model, data, APIs, product interface, and business workflow into one useful system.

03

Ground

Use RAG, embeddings, and vector search when answers need to stay connected to trusted knowledge.

04

Evaluate

Test accuracy, relevance, safety, failure cases, cost, and speed before users depend on the experience.

05

Deliver

Deploy, monitor, improve, and document the system so it remains dependable beyond the first demo.

Hiring an AI engineer or building an intelligent product?

Let's turn the model
into measurable value.

Start a conversation ↗