SALEHA BINT MOHAMMED ABDUL BASEER 160423748012
Dev
Hyderabad
I'm fascinated by the space between an idea and a working product, the adrenaline of research and meticulous building really drives me. I'm a final year AIML engineering student, currently exploring the world of applied AI, GenAI, agentic systems, and full-stack development. From building RAG-powered applications and multi-agent systems to automating workflows and contributing to enterprise-grade, AI-powered EHS software at SoapBox using Oracle APEX, I enjoy working across the stack and figuring out how the pieces fit together. I'm especially interested in connecting with people who aren't afraid to experiment. At DevFest, I'm here to exchange ideas, learn how real-world engineering happens, explore opportunities in AI/ML and GenAI, and meet people who are turning ambitious ideas into meaningful products. Always curious. Always building. Always looking for the next interesting problem.
Software Development intern
Soapbox.Cloud
- Contributing to the development of an AI-powered Environmental, Health and Safety (EHS) software
- platform using Oracle APEX 26.1
- Developing the application in Oracle APEX, writing PL/SQL procedures and packages, working with
- SQL and database DDL to define and maintain application data structures.
- Supporting database-backed enterprise workflows through schema development, query
- implementation, and integration with APEX application components.
Tech captain
GDGC MJCET
- Mentored 100+ students in technical workshops, covering Gen AI, Figma UI/UX, web
- development
- Leading a team of 6 developers to build the official GDGC club website using React, CSS,
- and GSAP, ensuring scalable architecture and consistent UI/UX.
- Inspiring the community to grow in tech.
Architected a full-stack legal freelance contract analysis platform using React, FastAPI, and Supabase, implementing REST APIs, PDF processing, and structured JSON-based AI workflows. Engineered an Agentic AI pipeline using LangGraph to orchestrate clause extraction, risk detection, fairness scoring, missing clause identification, and evidence generation through modular processing nodes. Developed a Retrieval-Augmented Generation (RAG) system using FAISS and Sentence Transformers to ground LLM responses in Indian legal knowledge, improving contextual accuracy and reducing hallucinations.
Architected a multi-agent diagnostic pipeline, where vitals, symptoms, and X-ray agents perform independent inference and emit structured JSON to a supervisor agent for confidence-weighted cross-modal synthesis. Built the Symptoms Analysis Agent using Groq-hosted LLM inference for entity extraction over unstructured clinical text, mapping free-form patient language to a structured symptom schema including symptom, duration, severity, and associated factors. Developed the React frontend, integrating multi-agent JSON outputs, including GradCAM++ visual explanations, into a unified diagnostic interface with per-agent confidence scoring.
CSE(AIML)
MJCET
Intermediate
MS Junior College
High school
Meridian school · 9 and 10th
School
International Indian School Jeddah
Attendee · Oct 24, 2026