AI Automation & Integration Engineer
I’m Kov Rastogi. My work connects AI, APIs and business data using Python, SQL and TypeScript. I bring an enterprise IT background to delivery, with validation, human approval controls and regression testing built into the workflow.
Good systems don’t stand still. Neither do I.
Different parts. One working system.
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Experience across
different worlds
01 / Selected work
Systems. Decisions. Forward motion.Three recent engineering studies, followed by enterprise work and research. Explore the scope, my contribution, tools, verification and limits of each project.
01 / Applied AI engineeringA server-owned compiler turns structured LLM output into validated websites, saved revisions, protected previews and GitHub draft PR delivery receipts.
Scope · Contribution · Tools · Verification · Limits
02 / Commerce integrationA 68-product Stripe-connected storefront with Clerk identity, signed webhooks, persisted stock targets and retry/idempotency tests.
Scope · Contribution · Tools · Verification · Limits
03 / Workflow engineeringPostgres-backed workflows with isolated privileges, one-time approvals, action-bound retries and a leased Notion outbox with provider readback.
Scope · Contribution · Tools · Verification · Limits
04 / Enterprise infrastructureHow identity, endpoints, enterprise systems, and compliance readiness fit together in a defense environment.
05 / Decision supportA later portfolio reconstruction connecting strategic value with delivery risk. Illustrative scenarios; not the employer’s live system.
06 / Automation frameworkA blueprint for connecting vendor data, handling exceptions, and choosing which processes are ready to automate.
07 / Research & strategyA proposed GRC framework connecting control ownership, supporting evidence, and a phased path to readiness.
How demographic change reshapes work, care, and public services—and what needs to be true for AI to help. Explore the mechanisms, constraints, and demographic evidence.
Explore the research02 / The person behind the systems
I connect enterprise IT with applied AI delivery. My background spans defense, energy and commercial real estate, where systems need to support real work under practical constraints.
At Kahla, I turn business requirements into AI workflows, API integrations and working products. I pair hands-on implementation with technical strategy: understand the dependencies, define the controls and verify how the system behaves.
That work brings together Python, SQL and TypeScript with the habits I developed in enterprise IT: clear ownership, careful access, reviewable changes and reliable handoffs.
Explore my experience03 / Experience
2025–present
Founder
Full-time since June 2026
Build AI workflows, integrations and web products, translating business needs into technical strategy and implementation. Work across structured LLM output, APIs, Python, SQL, TypeScript, PostgreSQL and delivery tooling, with validation, human approval controls, retries and regression testing.
January 2025–May 2026
IT Systems Engineer · Contract
Enterprise IT · Defense
Supported enterprise infrastructure and technical strategy across Microsoft 365 GCC High, Exchange, Active Directory and Entra ID. Connected identity, endpoints, PowerShell automation and compliance readiness with dependable day-to-day operations.
June 2024–January 2025
IT Data Analyst · Contract
Data integration · Commercial real estate
Worked across business data, reporting and automation using Python, SQL, Salesforce, Snowflake and APIs. Connected source systems and business requirements to repeatable data workflows and decision support.
June 2023–June 2024
IT Project Management Intern
Enterprise IT · Energy
Supported IT project planning, reporting and coordination, connecting technical work, business priorities and delivery dependencies. The public SCE dashboard is a later portfolio reconstruction of decision-support concepts, not the employer’s live system.
Early-stage technology evaluation
Venture
Evaluated early-stage technology and business ideas, connecting technical feasibility with market context and investment questions.
04 / How I work
Get close to the people, constraints, and existing systems. Build context quickly so the solution starts with the right problem.
Translate between technical detail and business priorities. Make tradeoffs understandable and bring the right pieces together.
Think beyond the first working version. Design for reliability, security, and the reality that requirements will change.
Tools & working knowledge
05 / Resume
Download my current resume for roles, background and technical skills.
Let’s find the next challenge
Looking for someone who can go deep technically, adapt quickly, and connect the bigger picture? Let’s talk.