Pranav Saji

Led design and implementation of a secure end-to-end Azure Databricks data pipeline processing millions of records daily and built an AI agent using LangChain to automate Jira-based InfoSec ticket triage achieving 90% accuracy and multi-quarter time savings.

Architected and delivered an AI-powered dual-platform MVP in 2 months using Next.js, Node.js, Python and GCP, implemented AI-driven candidate scoring and Stripe-integrated referral payouts, and led a 10-member cross-functional team driving product-led growth.

Architected and developed four mission-critical platforms using Node.js, React, Docker and Kubernetes, delivered 70+ secure production workflows, and designed a HIPAA/GDPR-compliant Trusted Research Environment leveraging AWS services.

Architected and launched a cross-platform lifestyle wellness platform with Generative AI features, built a conversational GenAI chatbot, and scaled a 15+ member team on a microservice architecture improving user satisfaction by 60%.

Built a full-stack GenAI-powered real estate platform using Flask and React that translates natural queries into dynamic SQL and returns real-time property and agent recommendations with integrated messaging.

Developed a GenAI solution analyzing text and video to extract market insights for enterprise clients, enabling actionable intelligence and improved client decision-making.

Developed a RAG-based chatbot using Azure OpenAI and Azure AI Search that reduced document processing time by 83% and saved $3M, and led full-stack integration to scale to 100,000+ daily requests.

Mentored over 500 students in Advanced Database Organization and Computer Networks, improving academic performance and hands-on project outcomes through coaching and practical guidance.

Built real-time credit card fraud detection using Kafka, Spark, and XGBoost reducing false positives by 25%, rebuilt extraction pipelines to raise accuracy to 90%, and improved ETL efficiency by 75% with Airflow.

Delivered end-to-end custom web applications and backend systems across industries using full-stack technologies, converting business requirements into scalable software products for direct clients.

Activities and societies: Graduate Teaching Assistant for Advanced Database Organization and Computer Networks; mentored over 500 students.

Master of Computer Science with a specialization in AI focused on advanced machine learning and AI systems.

Executive postgraduate programme in Machine Learning & AI covering applied ML techniques and industry-relevant AI practices.

Bachelor of Technology in Electronics and Communication with foundational engineering and systems coursework.