Yo! I'm Ankit

Working on EZWeight, Fitelo's health and wellness app — from discovery through design, tech, strategy, and business teams to prioritize the roadmap and translate business goals into deliverables.

Collaborated with designers on UX flows and engineering on technical feasibility, driving alignment across teams to ship features on scope, on time, and to a high quality bar.

• Built a RAG-based Persona Engine delivering personalized health recommendations across Fitelo's 2 lakh+ users, combining vector search and LLM inference to lift engagement.
• Architected AI pipelines integrating RAG with LLM orchestration to auto-generate personalized diet plans at scale, cutting manual touchpoints.
• Built multi-agent n8n workflows to autonomously manage health journeys — triggering interventions and syncing data across services.

• Contributed to product strategy for Hyped Samvadini, a government-backed messenger built around secure chats, calls, and video — with end-to-end encryption and a privacy-first identity model (hidden number + Dynamic Chat ID).
• Defined requirements for real-time video calling and anti-spam request-based messaging, ensuring a safe, reliable cross-platform (Android/iOS) experience.
• Shaped core user flows — onboarding, contacts, messaging — supporting the app’s multilingual (55+ languages) and inclusive design for Bharat’s users.

• Contributed to product development of FretBox’s Resident App, covering key user journeys — onboarding, room booking, rent payments, and complaint management — for a platform now used across 55+ campuses and 80,000+ students in India.
• Defined requirements for real-time features like room availability, payment status, and maintenance request tracking, working closely with engineering to replace fragmented WhatsApp-based communication with a unified in-app experience.
• Led product exploration for an LLM-powered chatbot (OpenAI API) to automate resident query handling and hostel notifications — reducing repetitive support load on wardens and admins.

• Designed and built Unhinge, a locality-first social app helping 18–25 year-olds in Gurugram form real-life friend groups — human-reviewed profiles, no swiping, no DMs.
• Defined the core product loop: users express interest in their locality → once 7+ people opt in, a WhatsApp group auto-forms — replacing algorithmic matching with a queue-and-threshold model.
• Built trust and safety into the product from day one — fuzzed location display (locality-only, no exact address), phone number privacy, and a reporting system for every profile.

• Built Zynri, an interactive map and directory of the Delhi NCR startup ecosystem, letting users discover startups by location, stage, sector, and type via map or grid view.
• Designed the discovery experience — filterable search (area/stage/sector), a “Near Me” view, and a public submission flow for founders to list their startups.
• Introduced a monetization layer with a “Boost Pin” feature, letting startups pay to increase visibility on the map.