Rasmi Ranjan Patnaik
Founder @ ReffConnect | Product Manager | AI Product Management | B2B SaaS | 0→1 Product Development | LLMs • RAG • AI Agents | Product Strategy | Product Discovery | Technical Product Management
Bengaluru
2+ years of work experience
Apr 20265 mosPresent
Pune District, Maharashtra, India
Building India’s first referral and career acceleration platform focused on referrals, mentorship, and network monetization.
Working on a two-sided marketplace connecting:
→ Professionals offering referrals, mentorship, and career services
→ Job seekers looking for faster, high-quality access to opportunities
What I’m building:
• A referral marketplace to unlock access beyond closed networks
• A mentorship + career services platform for structured guidance
• A system for professionals to monetize their network and expertise
Key focus areas:
• 0→1 product development (idea → validation → iteration)
• User research & problem discovery in hiring and career growth
• GTM strategy (LinkedIn-led distribution & early community building)
• Designing conversion funnels and marketplace liquidity
• Experimenting with pricing, trust mechanisms, and engagement loops
Vision:
To become the default platform for referrals and career growth in India, combining access, trust, and monetization into one ecosystem.
Jan 20268 mosPresent
Pune District, Maharashtra, India
As a Product Manager & AI Forward-Deployed Engineer at Auxy AI, I own the end-to-end lifecycle of AI-powered enterprise products, combining product strategy with hands-on technical execution to deliver scalable AI solutions.
I lead product discovery, roadmap planning, customer research, PRD authoring, feature prioritization (RICE), sprint planning, stakeholder management, GTM execution, and cross-functional delivery across Engineering, AI/ML, Design, Sales, and Customer Success.
Key Contributions:
• Owned the product roadmap for an AI-powered Ticketing & Escalation Platform, identifying customer pain points and defining product strategy through enterprise feedback and product analytics.
• Partnered with AI/ML teams to fine-tune LLMs (LoRA/SFT) and optimize RAG pipelines, prompt engineering, AI agents, and inference workflows, reducing AI response latency and AI-to-human handoffs from 20–35 to 5–9 tickets/day.
• Authored PRDs, user stories, acceptance criteria, and sprint plans while collaborating with cross-functional teams to deliver production-ready AI capabilities.
• Designed an intelligent ticketing architecture with automated escalation, RBAC, and workflow automation aligned with multiple enterprise pricing plans.
• Prioritized enterprise onboarding using the RICE framework, delivering bulk user provisioning that reduced onboarding from days to minutes.
• Led customer discovery, enterprise onboarding, and GTM execution, onboarding 9+ enterprise clients, including Embassy Group, Prestige Group, and Gera Developments.
• Defined North Star Metrics, contributing to feature revenue growth from ₹2 Cr to ₹9 Cr/month.
Core Skills: AI Product Management • Product Strategy • Product Discovery • Roadmapping • PRDs • Agile • Scrum • Stakeholder Management • Product Analytics • LLMs • Generative AI • RAG • AI Agents • Prompt Engineering • Workflow Automation • Enterprise SaaS • Technical Product Management.
Sep 20241 yr 4 mosDec 2025
Bengaluru, Karnataka, India
Faced high daily issue volume (30–50 tickets) impacting learner experience; implemented Jira-based SLA tracking and KPI dashboards, achieving 95%+ same-day resolution and improving DAU/retention stability.
Identified recurring batch/module-level friction points affecting engagement; used SQL queries and cohort analytics for root-cause analysis, enabling targeted fixes that improved activation and retention KPIs.
Noticed fragmented community communication reducing adoption; redesigned structured channels, workflows, and escalation paths, improving engagement efficiency and MAU consistency across a 200+ cohort.
Observed repetitive support queries slowing operations; launched a GenAI chatbot with LLM-based intent classification, automating 60–70% queries and reducing manual effort by 50%, improving response SLAs and CSAT.
Detected reactive issue handling limiting scale; built an n8n-based LLM monitoring system with event-driven automation, achieving 90% workflow automation and 40% faster response time, strengthening core product KPIs.
Feb 20247 mosAug 2024
Bengaluru, Karnataka, India
During Big Billion Day–scale traffic spikes, we faced delivery backlogs and checkout drop-offs; partnered with Product, Logistics, and Marketing to define requirements and shipped Same-Day Delivery using React.js, Next.js, Node.js, FastAPI, and Kafka event streams, improving DAU by 22% and enabling 35% faster fulfillment.
High mobile bounce rates and slow loads impacted conversion; rebuilt journeys with React.js/Next.js (SSR, code-splitting, performance optimization) and strengthened infra via AWS → GCP scaling, CDN, and caching, boosting mobile engagement by 35% and improving funnel metrics.
Limited visibility into campaign performance; integrated Tableau & Power BI dashboards with backend services (Node.js, Python, FastAPI) and analytics tracking to enable data-driven decisions, contributing to 18% revenue growth.
Checkout latency under peak load reduced conversions; optimized REST APIs, Kafka async processing, caching strategies, and frontend–backend communication, reducing redundant calls by 30% and latency by 20%, improving checkout completion rates.
Performance degradation during high concurrency affected UX; implemented lazy loading, Angular OnPush change detection, query optimization, and cloud autoscaling on AWS/GCP, increasing engagement and conversion by 25% while ensuring scalable, production-grade architecture.
Jan 20244 mosApr 2024
Patna, Bihar, India
1. Synthetic Data Generation:
- Objective: To generate high-quality synthetic data for various applications.
- Tools Used: Prompt and Hugging Face API.
- Outcome: Successfully led the R&D efforts, achieving an impressive 95% accuracy in synthetic data generation. This high level of accuracy significantly enhances the reliability and usability of the generated data for various machine learning and AI applications.
2. Clinical AI Site Enhancement:
- Objective: To improve the performance and user experience of a Clinical AI website.
- Tools Used: React.js and MongoDB.
- Outcome: Enhanced the site by optimizing its architecture and codebase, resulting in a 40% increase in content loading speed. This improvement ensures a smoother and more efficient user experience, which is crucial for a clinical application.
3. UI/UX Optimization:
- Objective: To boost user satisfaction through better UI/UX design.
- Tools Used: React Native.
- Outcome: Optimized the user interface and user experience, leading to a 30% increase in user satisfaction. This was achieved by implementing intuitive design principles and responsive elements that cater to user needs effectively.
4. Autism Communication App Development:
- Objective: To create an application that aids communication for individuals with autism. Tools Used: React Native and GPT API.
- Outcome: Developed a communication app that increased user engagement by 25%. The app leverages the capabilities of React Native for a seamless user experience and the GPT API for advanced communication features, making it a valuable tool for its users.
5. Machine Learning Model Implementation:
- Objective: To improve model performance for various AI applications. Tools Used: TensorFlow.
- Outcome: Implemented decision trees and neural networks, which led to improved model performance. These advanced machine learning techniques ensure more accurate predictions and better overall functionality of the AI systems.
Dec 20235 mosApr 2024
IIT Patna, Bihar, India
As a Research Intern at Clinical AI Assistance! I'm thrilled to be joining this innovative team and contributing to their mission of using AI to improve patient care. #ClinicalAI #ResearchIntern #NewBeginnings #2023
Rasmi’s AI Stack
Education
Master of Computer Applications - MCA, Computer and Information Sciences and Support Services
School of Computer Engineering, KIIT DU
20222 yrs2024
Bachelor of Science - BS, Botany/Plant Biology
Berhampur University
20193 yrs2022
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