Technical Expertise
- Debakshi specializes in building real-world AI systems with deep integration into business workflows.
- Their expertise spans multilingual AI agents, vector-based chatbots, and event-driven automation pipelines. They design, implement, and deploy intelligent systems that use natural language processing, entity-aware memory, vector retrieval, and real-time context adaptation.
- They have built multilingual SQL agents using LangChain, integrating OpenAI models with FastAPI, and managing memory, intent history, and entity tracking.
- On the automation front, Debakshi has developed pipelines using AWS Lambda, S3 event triggers, and n8n, enabling workflows like automatic transcription and embedding of newly uploaded media files into vector stores, making them instantly searchable by chatbots.
- Their practical AI engineering combines model training and optimization (in Python), deployment on mobile via TensorFlow.js, and seamless backend integration.
Conversational AI and Vector-Based Systems
- Debakshi builds intelligent assistants that understand context, remember past interactions, and provide fast, grounded answers using vector databases.
- They design embedding pipelines, manage retrieval strategies, and implement fallback logic to ensure intelligent assistants perform with speed and reliability.
- They’ve also implemented internal tools for knowledge extraction and summarization, leveraging prompt engineering and model tuning to ensure relevance and tone match business requirements.
End-to-End Automation & System Architecture
- Debakshi develops automation pipelines that react to file uploads, process content (like transcription), and make it usable in downstream systems like chatbots or dashboards.
- Using tools like n8n, AWS Lambda, and S3 triggers, they’ve created low-latency, cost-effective backend workflows that reduce manual overhead and boost responsiveness.
Applied AI in Mobile Contexts
- They have embedded AI models in production apps for tasks such as audio analysis (snore detection), offline chat, and real-time feedback.
- Using TensorFlow.js and on-device processing, Debakshi ensures privacy and responsiveness, particularly in health and wellness applications.
Mobile and Cross-Platform Foundations
- Debakshi’s experience in mobile development still informs their work.
- They have a strong command of Swift, SwiftUI, Objective-C, and React Native, along with backend skills in Firebase, Firestore, and cloud functions.
- Their cross-domain knowledge allows them to deliver coherent systems that span mobile, cloud, and AI.
Strategic Execution & Deployment
- From scoping technical solutions to client communication, Debakshi ensures delivery stays aligned with business outcomes.
- They manage deployment pipelines across App Store Connect and Google Play Console, resolve edge-case review issues, and support ongoing iterations across teams.