Our Projects
We've helped businesses of all sizes build smarter systems. Here's a selection of our work.
📊 Overview: Led the end-to-end design and implementation of an AI-powered system to extract structured insights from unstructured YouTube content. This PoC project explored how cutting-edge AI technologies—including transcription, visual analysis, and large language models—can be orchestrated to profile creators, interpret content behavior, and surface actionable audience intelligence. 🔧 Key AI Engineering Contributions: - Architected a multimodal AI pipeline: Integrated cloud-based transcription, OCR, and LLM services into a cohesive system capable of analyzing both audio and visual modalities. - Developed AI-ready data pipelines: Automated ingestion of YouTube metadata, video transcripts, and frame-level screenshots using YouTube API and Python-based orchestration....
📊 Overview: Led the design and development of a next-generation HR platform that leverages AI and data engineering to help tech companies make smarter, faster people decisions. The system integrates behavioral science, HR datasets, and performance metrics to deliver predictive insights across the employee lifecycle. 🔧 Key Technical Contributions: - Architected a predictive data model for human capital decisions: Engineered a backend structure to consolidate fragmented HR data (skills, career paths, evaluation scores, engagement signals) into a unified, queryable warehouse. - Developed a machine learning–ready data pipeline: Implemented structured ETL workflows using Python and SQL to prepare high-dimensional data for modeling and recommendation systems....
📊 Overview: Designed and implemented a robust data infrastructure to automate sales performance monitoring across multiple platforms. This system enabled real-time visibility into KPIs, replacing error-prone manual reporting with a scalable, query-optimized backend architecture. 🔧 Key Data Engineering Contributions: - Engineered an end-to-end ETL pipeline: Developed a fully automated data pipeline using BigQuery, ingesting structured and semi-structured data from multiple sources, including Google Ads and GA4 APIs. - Built a modular data warehouse architecture: Designed normalized and extensible table schemas to support multiple business units and campaign types, ensuring long-term maintainability and reusability....
📊Overview: Developed an AI-powered assistant to streamline the creation of business pitch decks by automating research synthesis, slide structuring, and narrative generation. The system blends prompt-engineered LLM workflows with structured data inputs to produce contextually relevant, high-quality slides in minutes. 🔧 Key Engineering Contributions: - Designed a modular prompt engineering system: Constructed LLM workflows using Gemini/OpenAI APIs, enabling dynamic slide generation from raw text, bullet points, or structured data inputs. - Built a document-to-deck transformation pipeline: Developed a backend logic to convert articles, market research, or user-uploaded content into slide-ready formats, including summary bullets, visual prompts, and speaker notes....