Adversary-Planner-Loop
An autonomous agentic loop implementation that pits plan generation against a simulated adversary to verify, stress-test, and refine code execution trees.
A timeline of leadership in AI architecture, deep-tech research, and the foundational social calibration forged in high-pressure environments.
Leading the AI revolution in Evaluation & Education. Architecting advanced Socratic AI systems localized in English, Hindi, Japanese, and Spanish for a unified global market. Orchestrating an active pilot program serving 2,000+ students at Parishkar College (Autonomous), bridging technical innovation with scalable pedagogical design.
Evvolv
Co-founded and engineered a core multi-agent system, creating autonomous AI workers designed to automate complex business workflows and operations for Small and Medium Enterprises (SMEs).
RVS Consensus+
Built end-to-end data pipelines and real-time dashboards (Dash/Plotly) processing 10M+ rows of transaction data from SIX, Reuters, and 15+ global Tier-1 banks. Engineered a Python-powered automation toolset that saved 5+ hours daily and accelerated new product development by 20x.
Imperial College London
Consulted at the Flapping Wing MAV Lab. Developed a modeless, data-driven control approach for bionic flapping-wing micro-aerial vehicles, pushing the boundaries of applied physical AI methodologies.
Mitchells & Butlers / Compass Group
Worked at AllBarOne Leicester Square, one of London's busiest bars, while pursuing a Master's degree. Honed exceptional social calibration (EQ), high-pressure teamwork dynamics, and rapid problem-solving skills.
Queen Mary University of London | London, UK
Rigorous exploration into the mathematical foundations of deep learning architectures, computer vision, and large language models.
Dissertation: Unsupervised Machine Translation using visual signals as rewards for Reinforcement Learning.
University of Petroleum & Energy Studies | Dehradun, India
Specialization in Cyber Security and Forensics with Honors.
Self-taught mastery of Machine Learning and Deep Learning fundamentals, verified by 100+ advanced certifications from Coursera and prestigious global institutions.
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Queen Mary University of London | London, UK
Rigorous exploration into the mathematical foundations of deep learning architectures, computer vision, and large language models.
Dissertation: Unsupervised Machine Translation using visual signals as rewards for Reinforcement Learning.
University of Petroleum & Energy Studies | Dehradun, India
Specialization in Cyber Security and Forensics with Honors.
Self-taught mastery of Machine Learning and Deep Learning fundamentals, verified by 100+ advanced certifications from Coursera and prestigious global institutions.
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