India
Founder, ParadoxAI Lab Building AI systems for real-world impact. Focused on intelligence, defense, and scalable technology.
Building an early-stage AI lab focused on decision intelligence, real-time data systems, and autonomous AI platforms Developing Paradox AIS, a defense-oriented system for data fusion, situational awareness, and decision-support workflows Designing system architectures inspired by platforms like Palantir Technologies and Anduril Industries Exploring world model–based AI, ontology-driven data systems, and multi-agent architectures Participated in incubation evaluation processes with IIT Madras Incubation Cell and reached final-stage evaluation with IISc Bangalore Incubation Program
Improved Python-based data processing workflows, increasing operational efficiency by 65%. Built predictive analytics models achieving approximately 75% forecasting accuracy. Developed interactive dashboards reducing weekly reporting time by 55%.
Increased data processing efficiency by 65% by optimizing Python-based workflows Built predictive models with 75% accuracy to support business use cases Developed interactive dashboards, reducing reporting time by 55% weekly Generated data-driven insights that informed strategic decision-making
Astra Women Initiative (Nonprofit / Social Impact) is a mission-driven platform focused on empowering women through technology, education, and economic independence. We aim to solve real-world gender inequality by building scalable systems that provide access to skills, opportunities, and financial inclusion. • Building digital platforms to connect women with education, jobs, and mentorship • Driving awareness and action around women’s rights, safety, and leadership • Collaborating with organizations to create grassroots + tech-enabled impact • Focused on long-term transformation, not short-term charity Vision: To create a future where every woman has the power, resources, and freedom to shape her own life.
Conceptualizing VAMP, an ML-native programming language designed for expressing neural computation and AI workflows Designing features such as model-first syntax, built-in autodifferentiation, and support for tensor and spiking computation Architecting a compiler pipeline (Typed AST → IR → MLIR → LLVM) targeting GPUs, TPUs, and emerging hardware Developing VAMPIRE, an experimental developer environment for AI model building, debugging, and execution workflows Publishing technical concepts and system ideas through structured articles and documentation
Researching world model–based AI systems for structured understanding, reasoning, and simulation Exploring ontology-based intelligence systems to model real-world entities, relationships, and decision graphs Studying advanced AI system architectures inspired by OpenAI and DeepMind Investigating autonomous multi-agent systems for collaborative and goal-driven execution Documenting system designs, research ideas, and architectural frameworks for future implementation