About ToroTensor

Research-informed. Business-practical.

ToroTensor Technologies Pvt Ltd helps organizations build useful AI capability in their people and turn selected opportunities into controlled working systems.

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Our focus is the space between “we should use AI” and “this now works responsibly in our organization.”

Our point of view

Capability and implementation should reinforce each other.

Capability building without application can remain theoretical. AI workflow automation without prepared people and clear ownership can be difficult to adopt. We connect both sides.

That means beginning with business context, shaping the right learning for each audience, and identifying only those workflows where AI may create enough value to justify the effort and controls.

What we connect

Research depth with operational judgment.

Our work brings together AI research, enterprise engineering, cybersecurity, product thinking, and organizational adoption.

The aim is a practical path from leadership clarity and team capability to carefully designed, controlled systems.

People & perspective

Leadership & Strategic Advisors

Experienced leaders and independent experts guiding ToroTensor’s technology, product innovation, industry applications, and responsible growth.

Leadership

Company direction and execution

Director

Tarun Kulshrestha

Director, ToroTensor Technologies Pvt Ltd

Ph.D., IIT Roorkee · 15+ Years of Experience · Former AI Researcher, The Hong Kong Polytechnic University · Applied AI & Intelligent Systems

Tarun Kulshrestha is an AI researcher and technology leader with 15+ years of experience spanning applied AI research, intelligent-system development, and GPU/HPC-enabled experimentation. During more than six years at The Hong Kong Polytechnic University, he worked across generative models, computer vision, LLM and RAG systems, model optimization, and multidisciplinary AI applications, while supporting researchers with solution design, training, and scalable experimentation. His contributions to core deep-learning models have appeared in leading international peer-reviewed venues and received Best Paper recognition. As Director of ToroTensor Technologies Pvt Ltd, he leads the company’s technology strategy, product development, and responsible translation of advanced AI into practical enterprise systems.

Applied AI Systems
Generative Models
Computer Vision
AI Infrastructure

Strategic Advisors

Specialized expertise spanning AI, optimization, cybersecurity, cloud architecture, enterprise engineering, and organizational adoption

Sukrit Mittal

AI, Optimization & Intelligent Decision Systems

Ph.D., IIT Roorkee · Director at Franklin Templeton · AI-Driven Decision Systems

Sukrit Mittal holds a Ph.D. in Mechanical and Industrial Engineering from IIT Roorkee, where his doctoral research focused on machine-learning-assisted evolutionary multi-objective optimization. He is Director of AI & Optimization Research at Franklin Templeton and Guest Faculty at IIIT Hyderabad. His work bridges generative AI, reinforcement learning, and optimization to develop intelligent decision systems and applied AI solutions. He has co-authored a Springer book on machine-learning-assisted optimization and holds a granted patent. At ToroTensor, he advises on research strategy, AI decision systems, and the responsible translation of advanced methods into industry applications.

Applied AI
Reinforcement Learning
Multi-Objective Optimization

Deepak Kumar

Cloud & Systems Architecture

Integrated Dual Degree, IIT Roorkee · Formerly with Microsoft · Scalable Cloud Platforms

Deepak Kumar holds an Integrated Dual Degree from IIT Roorkee and is a software architect with more than a decade of experience building scalable and resilient technology platforms. He has contributed to engineering teams at Microsoft, Zomato, and Uni across cloud, consumer-technology, and fintech environments. His expertise spans distributed systems, cloud architecture, system reliability, and the design of maintainable platforms for high-growth products. At ToroTensor, he advises on production architecture, platform scalability, and the secure integration of AI capabilities into dependable enterprise workflows.

Cloud Architecture
Distributed Systems
Platform Reliability

Amrita Malaviya

Partnerships & Organizational Adoption

MBA in Human Resources · Cross-Sector Leader & Entrepreneur · People-Centred Transformation

Amrita Malaviya holds an MBA in Human Resources and brings cross-sector experience spanning banking, telecommunications, education, social-impact initiatives, and entrepreneurship. Her work has focused on stakeholder engagement, partnership development, community programmes, and coordinating initiatives across public- and private-sector organizations. Her contributions to community and welfare initiatives have received recognition from the Governor of Uttar Pradesh and the Army Wives Welfare Association. At ToroTensor, she advises on institutional partnerships, organizational readiness, workforce engagement, and the people-centred adoption of AI-enabled solutions.

Strategic Partnerships
Organizational Adoption
Stakeholder Engagement

Vikas Chouhan

Cybersecurity & Quantum Resilience

M.Tech. & Ph.D., IIT Roorkee · Research Scientist & Team Lead at UNB · Post-Quantum Security

Vikas Chouhan holds M.Tech. and Ph.D. degrees in Computer Science and Engineering from IIT Roorkee and is a Research Scientist and Team Lead at the Canadian Institute for Cybersecurity, University of New Brunswick. His work focuses on post-quantum cryptography, cryptographic agility, cloud security, blockchain systems, and information reliability. He leads applied research aimed at operationalizing quantum-safe security and helping organizations prepare for cryptographic migration. A recipient of the Visvesvaraya Ph.D. Fellowship, he brings rigorous research and implementation-oriented security judgment to ToroTensor’s AI systems, data-protection architecture, operational resilience, and long-term technology-risk planning.

Post-Quantum Security
Cybersecurity Architecture
Cryptographic Agility

Sarang Kapoor

Routing Intelligence & Logistics Optimization

Ph.D., IIT Roorkee · Former Lead Data Scientist at Locus · Routing & Optimization Systems

Sarang Kapoor holds a Ph.D. in Computer Science and Engineering from IIT Roorkee, with research spanning data mining, graph mining, network analysis, and multi-objective optimization. As a former Lead Data Scientist at Locus, he developed routing intelligence for large-scale logistics and transportation operations by combining algorithm design, optimization, and advanced data analysis. His work bridges research and production across route planning, operational efficiency, network analytics, and scalable decision systems, with contributions published in peer-reviewed machine-learning and evolutionary-computation venues. At ToroTensor, he advises on optimization-led AI products, routing systems, and the translation of complex operational data into reliable real-world decisions.

Routing Intelligence
Logistics Optimization
Graph & Network Analytics

Sumit Kumar

Enterprise Product Engineering

Integrated Dual Degree, IIT Roorkee · Former Chief Engineer at Samsung · Enterprise Engineering

Sumit Kumar holds an Integrated Dual Degree in Computer Science and Information Technology from IIT Roorkee. He is an enterprise software engineer with a decade of experience designing and developing scalable business applications, including more than five years at Samsung R&D Institute India, where he served as Chief Engineer. His expertise spans enterprise platforms, microservices, full-stack systems, secure application design, and engineering for scalability and maintainability. He also applies generative and agentic AI to modern software-development workflows. At ToroTensor, he advises on product engineering, system design, technical execution, and the development of dependable enterprise AI products.

Enterprise Engineering
Product Architecture
Agentic AI Systems

How we work

Four principles guide every engagement.

Outcome before tool

We start with the business decision, task, or workflow—not a fashionable technology.

Role before syllabus

Executives, business users, and technical builders need different depth, practice, and language.

Human control

Consequential decisions, uncertain outputs, and exceptions must have clear human ownership.

Build when valuable

Not every problem requires custom software. We recommend implementation only when the case is strong enough.

From strategy to execution

A focused path from clarity to capability to systems.

An organization can enter at the stage it needs. The full journey is available when the opportunity warrants it.

Brief

Align leaders on current state and priorities.

Assess

Map roles, workflows, opportunity, and risk.

Enable

Build relevant skills through applied learning.

Discover

Define the strongest workflow in detail.

Pilot

Test a bounded system with real controls.

Improve

Evaluate, support adoption, and choose what follows.

Our commitment

Clear about what is known, tested, and still uncertain.

AI work contains real trade-offs. We aim to communicate them honestly, scope engagements responsibly, and keep claims tied to evidence.

From AI Strategy to Real Execution.

Practical clarity

Complex ideas explained in business-relevant language.

Tailored depth

Content and implementation shaped to the actual audience.

Controlled progress

Small, assessable steps before broader commitments.

Long-term usefulness

Transferable methods over dependency on one tool or trend.

Explore the fit

Tell us what your organization is trying to change.

We will recommend a useful first step—whether that is a briefing, an enablement program, a discovery sprint, or a focused pilot.

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