AI Developer | Cloud Systems Architect | CS & Economics @ Boston University
I specialize in the intersection of Generative AI, Cloud Infrastructure, and Government Advisory. My work focuses on moving AI from experimental stages to production-grade, ethically-grounded, and economically scalable systems.
- Engineering: Architecting RAG pipelines, multi-agent systems (CrewAI/MCP), and full-stack AI applications.
- Infrastructure: Deploying and managing cloud-native environments across AWS and Azure.
- Governance: Advising on state-level AI adoption and implementing bias-detection frameworks.
| Category | Tools & Technologies |
|---|---|
| Languages | Python (Expert), JavaScript/TypeScript, SQL, R, Java |
| AI/ML/LLMs | LangChain, PyTorch, OpenAI APIs, LlamaIndex, FAISS, RAG Pipelines |
| Cloud/DevOps | AWS (EC2, S3, Lambda), Azure (Cloud Practitioner), Docker, Kubernetes |
| Back-End | Node.js, Next.js, Flask, PostgreSQL, Redis, tRPC, Celery |
Engineered a production-grade RAG pipeline indexing 5,000+ university documents into a FAISS database, powering an internal AI assistant used across Boston University.
Fine-tuned multimodal AI models for breast cancer detection and applied rigorous bias-detection methods to ensure clinical reliability in high-stakes medical imaging.
Co-founded and architected a full-stack AI-powered travel app, leveraging LLMs to generate dynamic itineraries and achieving a 10% higher engagement rate.
- International Guest Speaker (Kazakhstan Government Initiatives): Invited to deliver a strategic seminar on the "Modern AI Ecosystem," advising state stakeholders on GenAI adoption and cloud-native infrastructure.
- AI Affiliate @ Boston University: Collaborating with faculty to transition curricula to AI-resilient frameworks with a focus on human-in-the-loop workflows.
- LinkedIn: sharma-akshat03
- Portfolio: akshatsharma03.github.io
- Email: akshat1.sunil@gmail.com