AI @ Adobe - AI @ Adobe - Applied Data Science | AI/ML Engineer | NLP (Conversational AI & NL Search) | GenAI | AI Ops | Reliable AI | Agentic AI | RL
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Assessing your cultural and operational fit
morph-2026
June 2, 2026 – Present
Coverage-guided user simulation for testing LLM-based conversational agents. MORPH (Multi-persona Orchestrated Resilience Probing Harness) steers synthetic test conversations toward unexplored regions of the agent's behavioral space and scores the resulting test suites with mutation analysis.
View Projecttsai_assignments
August 22, 2025 – November 21, 2025
tsai_assignments — GitHub repository
View Projectcompetitor-finder-api
March 5, 2025 – March 5, 2025
basic competitor finder api for a given company
View ProjectMachine-Learning--100-days-challenge
March 15, 2019 – April 27, 2019
Machine learning - My learning towards ML and its related areas
View ProjectWatson-Bot
December 17, 2017 – December 17, 2017
Chatbot and speech bot cum slack integrated
View ProjectCultural Fit Analysis
The candidate's personal projects show a self-driven learning approach and an interest in emerging AI/ML technologies. The diversity of project topics, from basic web development to AI, suggests a broad curiosity. However, the lack of detailed descriptions or team-based projects makes it difficult to fully assess cultural fit, especially regarding collaboration and communication within a professional team setting. The projects align with the 'Data Scientist' target role in terms of general AI/ML interest, but lack depth in specific data science methodologies or tools.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.