Isha Pendharkar

Architected and delivered scalable Apex classes, triggers, and batch jobs; optimized LWC component performance, reducing load times and backend failure rates significantly.
Designed end-to-end features across UI (LWC), backend (Apex/Java), automated workflows (Flows), and data layers (SOQL/SOSL), ensuring consistency across all tiers.
Owned full feature lifecycle — from requirement analysis and technical design to development, QA collaboration, and production release.
Drove production issue resolution through root-cause analysis and performance profiling; reduced recurring incidents through systematic fixes.

Recipient of Deloitte's Outstanding Performance Award (Sep 2025) and Spot Award (Jul 2024) for consistent high-quality delivery.
Built and maintained Salesforce features spanning LWC components, Apex/Java services, and Flow automations; contributed to multiple client deliverables.
Supported a data science initiative by developing ETL data pipelines and interactive visualization dashboards for business stakeholders.
Participated in agile ceremonies, sprint planning, and code reviews; mentored junior team members on Salesforce best practices.

Pre-processed and analysed complex multimodal time-series datasets; engineered features for behavioural classification tasks.
Designed and trained CNN and LSTM deep learning models for emotion recognition and deception detection, achieving strong benchmark results.
Co-authored 3 peer-reviewed international publications (Brain Informatics, AI and Ethics, ICAIN) on AI and cognitive behaviour analysis.

Developed chatbot frontend interfaces using Python and JavaScript; designed and managed underlying relational databases.
Collaborated on digital transformation projects involving microservices architecture, REST API integrations, and cloud-based deployment pipelines.

Designed and delivered a production-ready Complaint Management System using Django, HTML, CSS, and MySQL following MVC architecture.
Implemented backend logic for complaint tracking, user authentication, and data reporting; deployed for internal organizational use.