Who Thought Your Last Thought? The Space Between an Urge and an Action
A late-night message, a red apple, and a finger-and-clock experiment lead to a harder question: if a thought arrives before we can explain it, where does our response begin?
Founder · Engineer · Bar-Licensed Lawyer · Vedanta Student
I build tuning forks
for noisy systems.
AI Reliability Engineering is the discipline of finding truth references. Founder of Qualixar — nine shipped open-source instruments, ten public arXiv preprints, and a daily dawn study of Vedanta and Sāṅkhya validation models.
15+
Years in IT
8
Industries
10
arXiv Preprints
9
Live Instruments
Philosophy & Impact
Ancient maps for new machines.
How Vedanta and Sāṅkhya provide validation frameworks for understanding intelligence — artificial and embodied. Classical Indian philosophy was built for one goal: verifying truth references in dynamic, non-deterministic environments.
Sāṅkhya Darśana
Guna Optimization
Balancing the three cosmic Guṇas (Tamas/inertia/regularization, Rajas/learning rate/momentum, and Sattva/convergence) to tune neural network hyperparameters.
Kashmir Shaivism
Prakāśa & Vimarśa
Viewing static weights (Prakāśa) as latent potential, animated by dynamic runtime self-reflection loops (Vimarśa) and iterative token generation (Spanda).
Advaita Vedanta
Pramāṇa Epistemology
Applying classical validation instruments (Pratyakṣa, Anumāna, Śabda) to build formal assertions and reliability verification checks for agentic runtimes.
System Impact
Read the Blog Essays →Verification Runtimes
Translating theoretical metaphysics into production code. Real-time contracts, assertions, and test pipelines.
The Qualixar Suite
So I built the tools.
7 live · 3 in the forge
research-backed instruments
research-backed instruments
LIVEContracts
AgentAssert
Runtime Behavioral Contracts for AI Agents
Define YAML rules and check supplied structured agent state in Python. Place checks at an action boundary and raise on hard violations.
LIVEMemory
SuperLocalMemory
Local-first Memory for AI Agents
Store and recall project context across AI agent sessions through MCP or CLI, with workspace isolation, explicit operating modes and auditable retrieval.
LIVEOrchestration
Qualixar OS
AI Reliability Engineering — The Universal Runtime for AI Agents
Orchestration runtime of the Qualixar AI Reliability Engineering platform. 13 execution topologies (sequential, parallel, debate, mesh, hybrid, and more), Forge AI auto-design, adversarial judge pipeline, cost-quality-latency routing. 2,936 tests passing. Paper on arXiv.
Research
And proved it with math.
Ten public preprints on arXiv. Formal methods, security, and memory for AI agent systems.
arXiv:2609.27871
Bounded Loops
cs.SEcs.AI
→ The instrument found 47 vacuous gates — checks satisfied by the absence of the thing they check — in shipped, reviewed code
Read on arXiv →arXiv:2608.12895
Agent Behavioral Contracts II
cs.AIcs.MA
→ Two instances of the same model failed together on 90% of missions where either failed — independence is not a safe assumption
Read on arXiv →arXiv:2608.08253
SuperLocalMemory 4.0
cs.AIcs.IR
→ Governed memory with scoped component evidence and disclosed negative results
Read on arXiv →arXiv:2604.06392
Qualixar OS
cs.AIcs.MAcs.SE
→ One universal port for AI agents — 12 topologies, POMDP routing, four-tier degradation
Read on arXiv →arXiv:2604.04514
SuperLocalMemory V3.3 — The Living Brain
cs.AIcs.CLcs.IR
→ Forgetting as a feature — biologically-inspired decay, cognitive quantization, multi-channel retrieval, zero LLM calls
Read on arXiv →arXiv:2603.14588
SuperLocalMemory V3
cs.AIcs.IRcs.LG
→ 74.8% on LoCoMo with zero cloud calls — the highest local-first score reported
Read on arXiv →arXiv:2603.02601
AgentAssay
cs.AIcs.SE
→ Regression testing that treats non-determinism as the subject, not the obstacle — 5–20x cost reduction
Read on arXiv →arXiv:2603.00195
Supply Chain Security for Agentic AI Skills
cs.CRcs.AIcs.SE
→ Agent skills execute with your agent's full privilege and nobody checks them — 675 tests, 8 novel contributions
Read on arXiv →arXiv:2602.22302
Agent Behavioral Contracts
cs.AIcs.MAcs.SE
→ Design-by-contract for agents — invariants that hold on every execution path. 1,980 sessions across 7 models
Read on arXiv →arXiv:2603.02240
SuperLocalMemory — Bayesian Trust Defense
cs.AIcs.CR
→ Shared memory is an attack surface — Bayesian trust scoring that degrades a poisoned writer instead of trusting it
Read on arXiv →Experience
Career & Expertise
Accenture
Senior Manager & Solution Architect
RetailEnergyAviationTelecomChemicals
Leading digital transformation programs for Fortune 500 European enterprises. Managing 100+ member teams across multiple concurrent projects. End-to-end solutioning with GenAI and Agentic AI.
5× Global Technology Innovation Award Winner (2021–2025). Built AI platforms for automated voice dubbing, sound effects generation, and video production — recognized in national media.
Tech Mahindra
Software Engineer
US TelecomBanking
Enterprise solution development for major US telecom and banking institutions.
HCL Technologies
Software Engineer
Retail/QSRTelecom
Digital platform development for global retail and telecom enterprises.
Alcatel-Lucent
Network Engineer
NetworkingTelecom
Where the journey began — building networking infrastructure for telecom carriers.
Technical Expertise
Tools & Technologies
Cloud & Infrastructure
AzureGCPAWS
Digital Experience
Adobe AEMTargetCampaignFirefly
Commerce
HCL CommerceSAP Hybris
Backend
JavaSpring BootMicroservices
Frontend
Next.jsNode.jsReact
AI & ML
PythonNLPLLM DevelopmentGenAIAgentic AI
Architecture
Solution DesignDigital TransformationFull SDLC
Education
Dual Degree: B.Tech (Engineering) + LLB (Law)
The practice
How I architect AI systems.
Six decisions an AI solution architect actually owns. Each one is backed by something shipped and public rather than a slide — nine open-source instruments and ten arXiv preprints came out of making these calls and then having to defend them.
Agent Programme Architecture
Which agent capability an organisation buys, builds, or refuses.
Vendor evaluation and onboarding, rollout topology, the landing zone agents run in, and the guardrails that make a pilot survivable in production. The hard call is usually what not to automate yet.
Evidence: Qualixar OS →Reliability & Evaluation Architecture
What counts as proof that an agent is done and correct.
Behavioural contracts, independent gates the worker cannot write to, regression harnesses built for non-determinism, and drift detection. An agent asserting it finished is not evidence; a gate verdict in an append-only ledger is.
Evidence: Bounded Loops →Memory & Context Architecture
What an agent is allowed to remember, and for how long.
Retrieval design, scoping and governance boundaries, retention and erasure, and the auditability that makes a memory store defensible rather than merely useful.
Evidence: SuperLocalMemory →Agent Security & Supply Chain
What an agent is permitted to execute and with whose privilege.
Skill and plugin scanning, SBOM and attestation, least-privilege tool boundaries, and secret containment. Agent skills run with the agent’s full privilege, and most pipelines never check them.
Evidence: SkillFortify →Orchestration & Decision Routing
Which model, tool, or human handles a given step.
Execution topologies, cost–quality–latency routing, and typed decisioning with calibrated confidence so routing is an inspectable record rather than a prompt-shaped guess.
Evidence: Jev Decision Layer →Governance & Compliance
What evidence the organisation can produce when asked.
EU AI Act readiness, audit trails, evidence ledgers, and the operating model that keeps them current after the launch programme disbands.
Evidence: Research →Engagement details and client names are deliberately absent.
The Bridge
Sāṅkhya described multi-agent systems three thousand years ago.
Daily study of Advaita Vedanta with Shankara’s commentaries. The tradition’s emphasis on pramāṇa — valid means of knowledge — directly informs the formal verification methodology used across Qualixar instruments. Vedanta is the original reliability engineering: a method for testing the mind’s outputs against an unchanging reference.
“Pramāṇe ādhīnā prameya-siddhiḥ.”The valid object stands on the valid means of knowledge. — Nyāya
Tractable in code: every agent assertion is a prameya; every contract, regression, and supply-chain check is a pramāṇa; every production failure is a doṣadṛṣṭi — the cataloged flaw of perception that the system must be tuned away from.
Read the full essayA separate universe
Mirror Light Studio — @myhonestdiary.
I make films with my daughter about the questions AI made me ask. It’s a different room with different rules — spoken, not written. Enter the film library.
The research platform
Qualixar — research & courses.
The AI Reliability Engineering Platform. Nine shipped instruments, ten public arXiv preprints, and the courses that teach how they were built.
Writing
From the build log.
Why Women Outlive Men — What the Women in My Life Taught Me About Strength
Across three centuries of famine and epidemic, women outlived men — strongest of all in newborns, before behaviour exists. A father and engineer traces the biology of endurance, and where it quietly meets Vedanta.
Are the Machines Awake? Alive vs Driven — and the One Thing AI Is Missing
Everyone's asking if AI is waking up. I build AI for a living — and at 3 a.m., beside my four-year-old as his fever crossed 103, I understood we're asking the wrong question. The real divide isn't smart vs dumb. It's alive vs driven.
“The signal is always there.
You just have to build the filter.”
7 live instruments in the Qualixar suite. New research every few weeks.
Follow the build.