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Manav Lade

@manavlade

Full-stack software engineer building AI-driven, scalable web applications.

India
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What I'm looking for

I seek roles building AI-driven full-stack products where I can own end-to-end features, work cross-functionally, and grow in technical leadership.

I am a full-stack software engineer with hands-on experience architecting and delivering AI-driven web applications that prioritize scalability, performance, and user experience. I combine Java, JavaScript/TypeScript, modern frameworks, and cloud-native tooling to ship production-ready products.

I've led end-to-end development for startup and product projects — building landing pages, admin consoles, and multi-role platforms with Next.js, Node.js, MongoDB, Pinecone, and GenAI integrations. Notable achievements include designing semantic search and RAG-powered assistants, integrating analytics and payment systems, and improving user engagement through SEO and tracking.

I work well directly with stakeholders and cross-functional teams, owning deployments and delivering features rapidly using Agile practices, CI/CD, containerization, and robust system design principles. I focus on pragmatic, secure solutions that drive measurable product impact.

Experience

Work history, roles, and key accomplishments

IA
Current

Founding Engineer

Illusion AI

Aug 2025 - Present (10 months)

Architected and launched a cloud-native full-stack AI platform in under 4 weeks as Founding Engineer.
Diagnosed critical performance bottlenecks via structured logging, improved REST API response times 12× (1200ms → 100ms) and reduced AI latency 6× ( 12s → 2s) through a RAG pipeline (LangChain + Pinecone + Gemini API).
Implemented OTP auth, rate limiting and security aware back-end design patterns

Education

Degrees, certifications, and relevant coursework

VT

Vidyavardhini's College of Engineering and Technology

Bachelor of Engineering, Computer Science and Engineering (Data Science)

2022 - 2025

Grade: SGPI 7.2

Bachelor of Engineering in Computer Science and Engineering (Data Science) completed with SGPI 7.2 in May 2025, focusing on software engineering and data-driven applications.

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