The people behind Swagloop

Adi leads the team and sets Swagloop's strategy and AI direction. The core of the job is strategy and accounts: deciding what's worth building, where AI actually earns its keep, and closing the high-ticket B2B relationships he's spent years winning at BNCW Enterprises. What makes that work is genuine fluency in the stack he's directing, so he makes the technical calls first-hand instead of delegating them blind. The coding itself is the smaller part of the day.

• QLoRA
• LangChain
• LangGraph
• AutoGen
• Promptfoo
• Langfuse
• CI/CD

Harsh builds across the whole product, from the screens customers use to the services behind them. He turns designs and AI flows into working features, from the storefront down to the API, and keeps the experience quick and reliable on the devices people actually buy from.

• Angular
• TypeScript
• Python
• FastAPI
• PostgreSQL

Tejas runs the business engine behind the product. He owns the customer journey from first lead to post-delivery NPS: the sales process, onboarding, vendor and supply-chain operations, and the playbooks that make all of it repeatable. He brings hands-on industry experience to how Swagloop sells, sources, and keeps customers, then turns what works into process the whole company can run on.

• B2B sales
• GTM strategy
• Vendor & supply chain
• Customer success
• Playbooks

Nivedhiya designs how Swagloop looks and feels, from the storefront to the flows people move through to place an order. She works in design systems and cares about accessibility, building interfaces clean enough that customers never have to stop and think.

• Figma
• Design systems
• Accessibility
• Prototyping

Divya keeps delivery on track. She owns the schedule, coordinates the team across the product, and makes sure features land when we say they will. She is the reason the work stays honest and on time.

• Delivery
• Agile
• Roadmapping
• Stakeholder management

Abhinav shapes how Swagloop explains itself, from product copy to the brand voice across the storefront. He writes the words customers actually read and keeps them sounding like people, not machines.

• Product copy
• Brand voice
• Editorial
• Storytelling

Gitika runs the people and operations side of Swagloop: hiring, coordination, and the day-to-day that keeps the team organized and moving. The work behind the work that lets everyone else focus on building.

• Hiring
• Operations
• Coordination
• People ops

Amir builds the AI behind Swagloop's gift curation. With five-plus years in machine learning, he works on the RAG pipelines and multi-agent systems that turn a brief and a budget into picks that actually fit, and has scaled ML to millions of requests a day.

• RAG
• LangChain
• Multi-agent systems
• LLM fine-tuning
• Python