Engineering AI Systems
With Humans in Mind
I'm a GenAI and Agentic AI Engineer with a strong applied research orientation, building production-grade intelligent systems where human control, safety, and trust aren't afterthoughts—they're the foundation.
My Approach
My work spans LLM-powered applications, retrieval-augmented and multi-agent workflows, and end-to-end platforms—with hands-on ownership from system architecture and model orchestration through deployment, evaluation, and continuous iteration in real environments.
Across projects in education, mental-health decision support, social platforms, and knowledge systems, I conduct applied research on interaction design, explanation structure, autonomy boundaries, and user behaviour, using empirical analysis to inform system design.
I prioritise cost-aware AI engineering, implementing model routing, caching, and tiered inference strategies to balance quality, latency, and spend—delivering systems that are scalable, auditable, economically sustainable, and built to work effectively with humans, not around them.
Safety First
Building AI systems that fail gracefully and keep humans in control
Human-Centered
Designing interactions that calibrate trust and preserve autonomy
Production-Ready
End-to-end systems that scale, audit, and operate reliably
Who I Am
I believe technology should elevate humanity, not replace what makes us human.
Outside of engineering AI systems, I'm a committed fitness enthusiast who never skips the gym—discipline in one area fuels discipline everywhere. I'm deeply curious about different cultures, love meaningful conversations, and find myself naturally drawn to understanding what drives people emotionally.
Family comes first, always. That grounding shapes how I think about building technology: it should serve people, help them grow, and make space for what truly matters—pursuing passions, connecting with loved ones, and spreading a little more kindness in the world.
I carry a quiet conviction that one day, AI will handle most of our work. But even then, we'll need purpose beyond productivity. My goal is to build systems that free people to explore, create, and live fully—not systems that make us dependent or idle.
Discipline & Consistency
Never skip the gym, never skip the grind
Cultural Curiosity
Learning from every corner of the world
Family First
The foundation that grounds everything
Human Connection
Understanding emotions, building bridges
Tech for Good
Making Earth a better place through innovation
Purpose-Driven
Passion over productivity, always
Technical Skills
GenAI & Agentic AI
- Production LLM Systems (OpenAI, Claude, Llama)
- Agentic Workflows & Multi-Agent Coordination
- Retrieval-Augmented Generation (RAG & GraphRAG)
- Context, Memory & State Management
- MCP-Style Orchestration
- Tool Invocation & Function Calling
Applied AI Research
- Human–AI Interaction Analysis
- Trust Calibration & Autonomy Boundaries
- Explainability (XAI) & Transparency
- Interaction-Log Analysis
- Failure-Mode Analysis (Hallucination, Over-trust)
- Safety-Aware & HITL System Design
Cost-Aware AI Engineering
- Model Routing & Tiered Inference
- Caching & Fallback Strategies
- Throughput Optimisation
- LLM Cost Monitoring
- Budget-Aware Deployment
- Scaling Under Business Constraints
Full-Stack Development
- Backend: Flask, FastAPI, Django
- Frontend: React, Next.js
- Languages: Python, JavaScript, TypeScript
- APIs: REST, GraphQL
- AI-Integrated Web Platforms
- End-to-End Ownership
Knowledge & Data Systems
- Vector DBs: FAISS, Pinecone, ChromaDB
- Graph DBs: Neo4j, Cosmos DB
- Relational: PostgreSQL, MySQL
- Document Databases (MongoDB)
- Schema-Aware Retrieval
- Structured Reasoning
Cloud & DevOps
- AWS: EKS, EC2, Lambda, S3, API Gateway
- Azure: App Services, Cosmos DB, Blob
- Docker & Kubernetes (EKS/AKS)
- Terraform, Jenkins, GitHub Actions
- Cloud Monitoring: CloudWatch, Azure Monitor
- OSS Observability: Prometheus, Grafana
- IAM & RBAC, Secrets Management & Hardening
ML & Evaluation
- Classical ML (Gradient Boosting, Supervised)
- Experimentation & Tracking (MLflow)
- Output Quality & Drift Monitoring
- Prompt & Retrieval Evaluation
- Robustness Testing
Trust, Safety & Governance
- Responsible AI Design
- Privacy-First Architecture
- Role-Based Access Control
- Moderation Workflows
- Auditability & Logging
- Oversight Mechanisms
Engineering Leadership
- Technical Decision Ownership & Trade-offs
- Architecture & Delivery Leadership
- Mentorship & Technical Guidance
- Roadmap Planning & Prioritisation
- Stakeholder & Cross-Team Collaboration
- Risk, Cost & Quality Accountability
Engineering & Research Journey
Lead Full-Stack AI/ML Engineer
Smartail UK
Leading the design and delivery of production GenAI systems, including LLM-powered applications, RAG and GraphRAG pipelines, and agentic workflows. Owning architecture decisions, cost and safety trade-offs, cloud deployment, and cross-team delivery.
Freelance & Independent AI Projects
Designing and delivering applied AI and GenAI systems alongside full-time work, including conversational assistants, retrieval-augmented pipelines, and agentic workflows, with emphasis on reliability, safety, and real-world usability.
Human–AI Interaction Research Direction
Industry-Aligned Research Focus
Developing a research focus on human–AI interaction, trust calibration, autonomy boundaries, and explanation design, informed by MSc research and ongoing industry systems work.
MSc Dissertation — Mental-Health AI Prediction
Coventry University, United Kingdom
Designed and implemented a full-stack mental-health prediction system integrating machine learning with human-centred interface design. Studied how users interpret, trust, and act on AI predictions in high-sensitivity contexts.
Senior Software Engineer
Accenture
Built and deployed production backend and ML systems using Python and cloud-native architectures. Led API development, CI/CD automation, and cloud migration initiatives while collaborating closely with cross-functional teams.
BTech — Information Technology
Sri Krishna College of Engineering and Technology, India
Built a strong foundation in computer science and software engineering, covering data structures, databases, operating systems, and web technologies. Developed early interest in human–computer interaction through applied projects, programming, and system design.
Interested in Working Together?
I'm open to AI engineering roles, research positions, and collaborative projects in human-AI interaction.