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AI Engineer with less than a year in AI/ML & Enterprise Solutions
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Anmol Jain is an AI Engineer Intern specializing in Data Science, Machine Learning, and Agentic AI. With 9 months of experience, Anmol has delivered production-ready AI analytics platforms and enterprise portals, deployed scalable systems using Docker, Node.js, and PostgreSQL, and gained hands-on experience in SAP S/4HANA administration. Anmol has led significant projects like NeuralScribe, an AI audio intelligence platform, and developed an ML model for Brucellosis disease prediction, demonstrating strong technical and leadership capabilities.
The LNM Institute Of Information Technology
Bachelor of Technology · ECE with minor in AI and DS
October 1, 2022 – May 1, 2026
SaturnIQ Intelligent Solutions Pvt Ltd.
AI Engineer Intern
January 1, 2026 – Present
India
Accenture India
Associate Software Engineer Summer Intern
May 1, 2025 – July 1, 2025
India
NeuralScribe - AI Audio Intelligence Platform
April 1, 2026 – Present
Developed a full-stack AI audio transcription platform integrating Gemini API, speech-to-text, and intelligent document processing with mobile-responsive UI (480px-1920px) and real-time job polling. Engineered FastAPI backend with secure cloud storage, AI-powered summary generation, action item extraction, and usage tracking dashboard for enterprise-grade audio analysis at scale.
Brucellosis Disease Predictor
March 1, 2024 – Present
Developed a machine learning model to predict Brucellosis disease using feature engineering and the Extra Trees algorithm; achieved effective classification performance using the Weka Data Mining tool. Deployed the trained model using Streamlit for an interactive web interface, enabling real-time Brucellosis risk prediction and user-friendly access to ML-based diagnostics.
Published Research Paper on SDG indicators
IEEE Explore (IEEE Bombay Section)
September 1, 2025 – Present
Role of AI in Brucellosis
Veterinary University Mathura
July 1, 2025 – Present
A Computer-Implemented System for Multi-Source Data Integration and Predictive Risk Classification.
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects, internships, and certifications show a strong alignment with an AI Engineer role. The diversity of projects, from audio intelligence to medical prediction, indicates a broad interest and ability to apply AI in various domains. Participation in a robotics club and publishing research papers suggests a proactive, curious, and collaborative individual. The current AI Engineer Intern role further solidifies the fit for an AI-focused environment. However, the experience level is still early career, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project development and research. The ability to work on diverse projects (AI audio intelligence, disease prediction) and contribute to production-ready POCs suggests adaptability and a results-oriented approach. Experience with SSO integration, NAS-based systems, and real-time monitoring indicates an understanding of enterprise operational requirements. However, without specific psychometric test results, a detailed assessment of stress handling, logical reasoning, and team collaboration is not possible.