Aryan Rane
@aryanrane
AI and ML engineer focused on scalable model deployment and NLP.
What I'm looking for
I am an AI and machine learning engineer with hands-on experience deploying scalable model inference endpoints and building NLP/LLM applications.
I have implemented production FastAPI endpoints for vLLM inference, configured backend infrastructure for reliable API availability, and fine-tuned models for effective LLM processing.
My projects include medical imaging classifiers (EfficientNet, ViT) with strong validation accuracy, a hazardous asteroid predictor with 94.7% accuracy, and real-time applications built with OpenCV and MediaPipe.
I take a results-driven approach to engineering, optimizing performance and user-facing systems — from speeding website load times and improving SEO to reducing document analysis time by 20% through automation.
Experience
Work history, roles, and key accomplishments
AI Intern
Innoviti Technologies
Dec 2025 - Present (6 months)
Deployed scalable FastAPI endpoints to serve vLLM model inference and configured backend infrastructure to ensure reliable API availability, improving deployment reliability for ML services.
AI Intern - NLP & LLM
CN Techies
Jun 2025 - Aug 2025 (2 months)
Researched and implemented chunking for effective LLM processing and performed model fine-tuning and ETL processes to improve NLP application performance.
Web Developer
Scantech Laser Pvt Ltd
Jun 2024 - Aug 2024 (2 months)
Integrated SMS API, improved SEO increasing traffic by 15%, and optimized site performance to achieve 30% faster load times while enhancing document analysis features.
Education
Degrees, certifications, and relevant coursework
Bharati Vidyapeeth(BVDU), Navi Mumbai
Bachelor of Technology, Computer Science and Engineering (AI & ML)
2022 -
Grade: CGPA 8.8
Activities and societies: GDSC Exec Member; ACM BVDUET Web Lead; led web development events and technical workshops.
Pursuing B.Tech in Computer Science and Engineering with AI & ML specialization, focusing on machine learning, deep learning, and full-stack development; current CGPA 8.8.
Fr. Agnel Higher Secondary School, Navi Mumbai
Higher Secondary Certificate (HSC), Higher Secondary Education
Grade: 76%
Completed Higher Secondary Certificate (HSC) with overall percentage of 76%.
Fr. Agnel Higher Secondary School, Navi Mumbai
Secondary School Certificate (SSC), Secondary Education
Grade: 90%
Completed Secondary School Certificate with a focus on foundational subjects; achieved 90% in SSC examinations.
Availability
Location
Authorized to work in
Job categories
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