Building AI Systems, Scalable Products, and Developer Ecosystems
I design and build AI-powered systems, scalable platforms, and developer ecosystems that move from idea to execution with measurable impact.
Leading at the intersection of product, engineering, and community.
My journey is defined by building systems from scratch and thinking in product roadmaps rather than just features. As the founder and product lead of TechXNinjas, I've scaled an ecosystem that bridges the gap between raw technology and real-world execution.
I don't just build projects; I engineer infrastructure. Whether it's combining AI with robust backend architectures or designing user growth loops, my focus is always on the execution loop, moving from idea to measurable impact with precision.
Beyond engineering, I've mentored over 3000+ students and led workshops that empower the next generation of builders. I operate where strategy meets code, ensuring every system I build is scalable, sustainable, and purpose-driven.
Systems Thinking. Execution Focused.
Product Strategy and Roadmapping
Defining vision and execution paths for complex technical products.
- End-to-end roadmap ownership
- Data-driven decision making
- Cross-functional team leadership
- Market-fit analysis and scaling
AI Systems and Automation Engineering
Building intelligent systems that automate complex workflows.
- RAG architecture implementation
- LLM fine-tuning and integration
- Agentic workflow design
- Performance optimization
Full Stack and Backend Architecture
Designing scalable, high-performance systems from the ground up.
- Microservices architecture
- Real-time data processing
- API design and optimization
- Cloud-native infrastructure
Developer Relations and Community Programs
Scaling ecosystems and building high-trust developer communities.
- Community growth loops
- Technical content strategy
- Workshop and event leadership
- Developer experience (DX) focus
2K+
Students Impacted
800+
Active Platform Users
400+
Students Mentored
300+
AI Parsed Job Entries
45%
Performance Optimization
Case Studies in Execution
AI Chatbot with RAG and Model Fallback
A robust AI-powered chatbot designed for high-availability and precision.
Problem
Existing solutions lacked reliable context-aware responses and suffered from model downtime.
Approach
Implemented a Retrieval-Augmented Generation (RAG) architecture with a dynamic fallback mechanism.
Architecture
Vector database (Pinecone) + LangChain + Multi-model orchestration (OpenAI/Anthropic).
Execution
Developed a custom routing layer that selects the best model based on query complexity and availability.
Measurable Impact
95% accuracy in context retrieval and 99.9% uptime through intelligent fallback.
Agentic Honeypot for Scam Detection
An automated security system that lures and identifies malicious actors.
Problem
Manual scam detection is slow and reactive, allowing attackers to exploit users.
Approach
Created an autonomous agent that simulates user behavior to engage and profile scammers.
Architecture
State-machine based agents + Real-time monitoring + Automated reporting.
Execution
Built a distributed network of honeypots that feed data into a central analysis engine.
Measurable Impact
Identified 500+ unique scam patterns and reduced response time by 80%.
Pitch Karo India Event Platform
A high-performance platform for managing large-scale startup pitching events.
Problem
Event management for startup pitches was fragmented and lacked real-time engagement.
Approach
Developed a unified platform for registration, live pitching, and investor matching.
Architecture
Serverless backend + Real-time socket communication + Scalable frontend.
Execution
Optimized the platform for low-latency updates during live sessions with thousands of users.
Measurable Impact
Successfully hosted 10+ major events with 5000+ total participants.
TechXNinjas Community Platform
The central hub for a growing ecosystem of 2000+ students and developers.
Problem
Fragmented communication and lack of structured learning paths for community members.
Approach
Built a custom LMS and community engagement platform tailored for developers.
Architecture
Monolithic-to-Microservices transition + Integrated learning management.
Execution
Implemented gamification and automated mentorship matching to drive engagement.
Measurable Impact
800+ active monthly users and 400+ students successfully mentored.
Leadership & Vision
Product Manager
SwitchiT
Product Strategy & Feature Ownership
Driving product improvements for an AI-powered professional networking platform focused on privacy-first job discovery and anonymous career exploration.
User Experience Optimization & Feature Design
Identifying UX friction across onboarding, profile management, post creation, and opportunity preference flows, implementing improvements to enhance usability and engagement.
Product Testing, Collaboration & Iteration
Conducting structured testing across authentication, profiles, and feed systems while collaborating with engineering and design teams to ship reliable features and refine the early-stage AI-driven networking platform.
Founder and Product Lead
TechXNinjas
Product Vision & Roadmap
Defining the long-term strategy for a developer-focused ecosystem, ensuring alignment with user needs and market trends.
Growth Loops
Implementing automated systems for community engagement and user retention, resulting in 800+ active monthly users.
OKRs & Metrics
Driving execution through measurable objectives, focusing on student impact and platform performance.
Cross-functional Execution
Leading a team of developers and community managers to deliver high-quality educational products.
Data-driven Decisions
Leveraging analytics to optimize learning paths and platform features for maximum engagement.
System Architecture
Overseeing the transition from monolithic systems to scalable microservices to support rapid growth.
Community Lead
Ping Network
Developer Program Expansion
Contributed to the launch and expansion of the Google Gemini Student Developer Program across 1,500 universities, engaging 4.5K+ students and accelerating developer ecosystem adoption.
Partner & Community Alignment
Acted as a bridge between Google, product teams, students & college communities, aligning program execution with product goals and end user needs.
Product Experience Design
Developed user personas, scenarios, storyboards, wireframes, and high fidelity prototypes to support program experiences designed to activate 4 Millions+ Gemini app trials.
Program Systems & Analytics
Gathered business requirements from stakeholders and collaborated with BI teams to build analytics dashboards and scalable operational systems ensuring measurable impact and reliable program performance.
Developer Relations & Community
I don't just participate in communities; I scale them. My focus is on creating sustainable educational infrastructure and high-trust developer ecosystems.
Google Cloud Skills Boost Facilitator
Leading cloud education initiatives and helping students master GCP infrastructure.
Workshop Leadership
Designing and conducting high-impact technical workshops for 3000+ students.
Community Scaling
Building platforms that allow communities to grow autonomously while maintaining high trust.
Mentorship & Education
Operating a structured mentorship program that bridges the gap between theory and industry.
Developer Relations
Building bridges between developer communities and technology platforms through programs and ecosystem initiatives.
Community Growth Strategy
Designing engagement loops, programs, and initiatives to scale developer communities sustainably.
Program Management
Planning and executing developer initiatives, partnerships, and technical programs across multiple communities.
User Engagement Systems
Designing participation frameworks that improve retention, learning outcomes, and community interaction.