CS undergraduate building full-stack systems, AI pipelines, and data-driven products. Proficient in Java, C/C++, Python, and React — from REST APIs to LLM agents.
Designed and implemented a custom batch-inference pipeline in Python to process civic datasets exceeding provider file-size limits — enabling inference on datasets 10× larger than the upload threshold.
Engineered a reusable, provider-agnostic pipeline abstraction supporting multiple OpenAI-compatible APIs, adopted team-wide and eliminating manual analyst bottlenecks.
Built a cross-platform Forex trading application using MERN stack and React Native with real-time data streaming via Socket.io, supporting 30+ concurrent users.
Designed RESTful APIs and integrated Firebase Authentication for secure session management; delivered features iteratively across Agile sprints.
Multi-tool autonomous reasoning and planning agent using LangChain capable of multi-step task execution via custom tool integrations, persistent memory, and a goal-decomposition loop that invokes external APIs without human intervention.
End-to-end Retrieval Augmented Generation system with chunked ingestion, SentenceTransformer embeddings, and FAISS vector search achieving 30% better retrieval efficiency. Exposed as a REST API via FastAPI with an interactive Gradio UI for real-time document querying.
Ad click-through rate prediction model using Logistic Regression and XGBoost on large-scale ad click datasets. Includes feature engineering, hyperparameter tuning, and a production-ready FastAPI endpoint for inference.
Full-stack MERN expense tracker with JWT authentication, RESTful CRUD API, and donut-chart spend visualizations backed by MongoDB. Designed for clarity-first personal finance management.
Open to AI/ML internships, full-stack roles, and freelance projects — based in Indore, MP. Remote-friendly.
sayyedarhamali@gmail.com →