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AI Engineer with less than a year in LLMs, RAG & Web Development
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Assessing your cultural and operational fit
As an aspiring AI Engineer, I am currently pursuing a B.Tech in Computer Engineering with strong foundational knowledge in Data Structures & Algorithms, System Design, and Object-Oriented Programming. I have hands-on experience in building AI applications like RAG systems and real-time voice assistants, leveraging technologies such as Python, LangChain, FAISS, and FastAPI. My work includes optimizing search times by 60% and improving conversational responsiveness by 40%, demonstrating a keen interest and ability in developing production-ready AI and full-stack solutions.
Delhi Technological University, Delhi
B.Tech · Computer Engineering
August 1, 2022 – June 30, 2026
Greenway Modern School
CBSE Class 12th
June 1, 2021 – May 31, 2021
Greenway Modern School
CBSE Class 10th
June 1, 2019 – May 31, 2019
Placewit (EdTech Startup)
Web Developer Intern
May 1, 2025 – July 1, 2025
India
Rude AI
May 1, 2026 – Present
Developed a real-time voice AI assistant using FastAPI, Groq Llama 3 70B, LiteLLM, Deepgram STT/TTS, and Web Audio API with sub-200ms response latency. Implemented real-time speech interruption handling and streaming audio processing using Web Audio API, improving conversational responsiveness by 40%. Deployed and maintained a full-stack AI application on Render with environment variable management, CI/CD pipelines, and production-ready backend configuration.
View ProjectDocBot
May 1, 2026 – Present
Built a Retrieval-Augmented Generation (RAG) application for PDF-based question answering using Python, LangChain, FAISS, Hugging Face embeddings, and Llama 3.3 via Groq API, reducing document search time by 60%. Developed a document ingestion and semantic search pipeline using chunking, embedding generation, Sentence Transformers, and FAISS vector database for efficient similarity retrieval. Implemented source citation tracking, modular backend architecture, and scalable retrieval-generation workflows to improve maintainability and response traceability.
View ProjectA hybrid DistilBERT-MLP framework to detect phishing links
Unknown
May 1, 2026 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for an innovative AI role, driven by a passion for cutting-edge technologies as evidenced by their advanced personal projects. Their proactive learning, diverse technical stack, and research involvement suggest a growth mindset and adaptability. The experience in a startup environment also points to a collaborative and agile work ethic.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and self-direction through complex personal projects. Their ability to deploy full-stack AI applications with CI/CD indicates an understanding of operational aspects. Collaboration skills are noted from their internship experience. The detailed project descriptions suggest strong problem-solving and analytical thinking.