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AI Engineer with less than a year in Large Language Models & Voice AI
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Assessing your cultural and operational fit
AI/ML developer with hands-on internship experience designing and shipping production-grade Al systems spanning Large Language Models (LLMs), Natural Language Processing (NLP), and voice Al. Experienced in LLM fine-tuning, Retrieval-Augmented Generation (RAG) pipelines, prompt engineering, MCP (Model Context Protocol) agentic workflows, and Claude Skills integrations. Proficient in Python, PyTorch, and modern deep learning and LLM tooling across the full machine learning lifecycle.
Anand Institute of Higher Technology
Bachelor of Engineering · Computer Science & Engineering
August 1, 2022 – June 30, 2026
F22 Labs Global
AI/ML Engineering Intern
December 1, 2025 – Present
Chennai, Tamil Nadu, India
Languify
AI/ML Intern
July 1, 2023 – July 31, 2023
India
modelfit
August 1, 2023 – June 30, 2026
A CLI and web dashboard that scans your system and reports which open-source AI models (LLM, STT, TTS, OCR, vision) actually run on it, and at which quantization, before you download a single gigabyte.
View Projectvoice-deck
August 1, 2023 – June 30, 2026
An end-to-end real-time conversational voice pipeline wiring LiveKit transport, Deepgram STT, and Cartesia TTS to a fine-tuned LLM, with VAD-gated WebSocket benchmarks measuring end-of-utterance latency and time-to-first-token.
View Projectprivacy-focused-ai-platform
August 1, 2023 – June 30, 2026
A privacy-preserving multi-agent AI platform built on the Model Context Protocol (MCP), keeping sensitive data local while coordinating agentic workflows.
View ProjectAI/ML Internship Certificate
Languify
July 1, 2023 – Present
AI-900: Microsoft Azure AI Fundamentals
Microsoft
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects, from open-source model scanning (modelfit) to real-time conversational AI (voice-deck) and privacy-focused multi-agent platforms, indicates a broad interest in the AI domain. The internship experience at F22 Labs Global, focusing on cutting-edge LLM and voice AI development, aligns well with an innovative and fast-paced environment. The academic recognition for a research paper further highlights a commitment to pushing boundaries and contributing to the field, suggesting a good fit for a research-oriented or advanced development culture.
Soft Skills & Operational Fit
The candidate's detailed project descriptions and work experience demonstrate strong technical communication skills. The breadth of projects and technologies indicates a proactive and self-driven approach to learning and problem-solving. The technical writing contributions suggest an ability to articulate complex concepts clearly, which is valuable for team collaboration and knowledge sharing. The academic project receiving a 'Best Paper Award' also points to strong research and presentation capabilities.