AI Engineer with less than a year in voice AI & full-stack development.
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Highly motivated junior AI Engineer with 7 months of experience across various internships, specializing in building and evaluating conversational AI systems and voice agents. Proficient in Python, JavaScript, and modern frameworks like React.js and FastAPI, with hands-on experience in LLMs, cloud platforms (AWS, DigitalOcean), and DevOps tools. Demonstrated ability to develop real-time applications, improve system performance, and lead technical initiatives in competitive environments.
Rajiv Gandhi Institute of Petroleum Technology
B.Tech. · Computer Science
August 1, 2023 – June 30, 2027
ICSE Board
Secondary
N/A – May 31, 2020
CBSE Board
Senior Secondary
N/A – May 31, 2022
Voxmith
SDE Intern
May 1, 2026 – Present
India
Voice-IQ
Gen AI Intern Voice Agent Development
January 1, 2026 – March 31, 2026
India
LESO
Technical Intern
July 1, 2025 – August 31, 2025
India
Voice AI Call Agent
January 1, 2026 – March 1, 2026
Built a low-latency full-duplex voice agent using FastAPI, Twilio Media Streams, Deepgram STT/TTS, and Llama-3 via Groq. Implemented barge-in, function calling, and streaming inference for real-time conversational experiences.
View ProjectBits De Cipher
December 1, 2025 – January 31, 2026
Architected and deployed a real-time quiz platform successfully conducting a 127-user live contest on AWS EC2. Implemented dynamic scoring, Google OAuth, JWT authentication, and live Socket.IO leaderboards.
View ProjectCereBro
May 1, 2025 – June 30, 2025
Built a WhatsApp-based AI assistant using IBM Granite, LangChain, and Twilio for document storage and retrieval. Implemented RAG + FAISS for contextual search and automated reminders via APScheduler.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including real-time quiz platforms and AI assistants, showcases a broad interest in technology and a willingness to explore different domains. The internships at Voxmith, Voice-IQ, and LESO demonstrate a consistent focus on AI/ML, particularly in voice and conversational AI, which aligns well with an AI Engineer role. The involvement in student organizations also suggests a collaborative and engaged individual. The breadth of technical skills listed further supports adaptability and a continuous learning mindset, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions and internship roles indicate a proactive and results-oriented approach. The experience in leading technical roles within student chapters suggests leadership potential and collaboration skills. The focus on optimizing performance and user experience in projects (e.g., SEO improvements) points to a practical, problem-solving mindset. However, without direct interview data, a comprehensive assessment of soft skills and operational fit is limited.