• Languages: Python, Go, Java, C++, JavaScript/TypeScript[cite: 2].
• Frontend: React.js, Material-UI (MUI)[cite: 2].
• Backend & Databases: Node.js, Express.js, PostgreSQL, MongoDB, Redis, Vector DBs[cite: 2].
• Cloud & AI: Docker, AWS, Git/GitHub, Linux, AI Agents, RAG Architecture, LLMs[cite: 2].

Software Engineering Intern | Trueview (Dec 2025)[cite: 2]

• Optimized product specification retrieval, reducing internal query resolution time, by designing a custom RAG architecture[cite: 2].
• Enhanced user interaction, ensuring high-performance querying, by deploying a scalable AI backend with secure APIs[cite: 2].
• Boosted team productivity, delivering an automated knowledge-sharing platform, by aligning LLM capabilities with business workflows[cite: 2].

Software Engineering Intern | Trueview (May 2025 - Jul 2025)[cite: 2]

• Enhanced product visibility, driving a 20% online sales increase, by developing a functional e-commerce website[cite: 2].
• Ensured seamless user experience and performance, by engineering secure login systems and scalable backend architecture[cite: 2].
• Optimized platform conversions, fulfilling strategic business goals, by collaborating cross-functionally with design and product teams[cite: 2].

AutoAnalyst | Python, CrewAI, Streamlit[cite: 1]

• Automated complex reporting tasks, generating structured analytical dashboards, by architecting a CrewAI multi-agent financial system[cite: 1].
• Executed cohesive business analysis, synthesizing heavy financial data, by coordinating specialized AI agents via Streamlit[cite: 1].

Fault-Tolerant Webhook Dispatch Engine | Go, Redis, Docker[cite: 2]

• Concurrently processed high-volume payloads for rapid delivery, by architecting an asynchronous Go event-delivery system[cite: 2].
• Guaranteed payload delivery against failing external endpoints, by engineering a Redis message-queuing architecture with retries[cite: 2].
• Ensured core system stability, preventing heavy-load queue bottlenecks, by designing an isolated dead-letter queue mechanism[cite: 2].

RAG-Powered Enterprise Knowledge System | Python, React, Vector DBs[cite: 2]

• Streamlined organizational data access, significantly reducing lookup times, by architecting a custom RAG-powered knowledge platform[cite: 1, 2].
• Delivered highly accurate query responses, parsing unstructured technical documentation, by implementing vector embedding semantic search[cite: 1, 2].

Automated AI Security & Vulnerability Scanner | Python, LLM APIs, CLI[cite: 2]

• Identified potential vulnerabilities, significantly reducing false positives, by developing an LLM-integrated automated SAST pipeline[cite: 1, 2].
• Enabled developers to execute rapid pre-commit security audits, by packaging the analysis engine as a CLI[cite: 1, 2].