Saivinil Rapelly
@saivinilrapelly
Machine learning and Generative AI engineer focused on LLMs and applied AI.
What I'm looking for
I am a dedicated Computer Science Engineer specializing in machine learning, Generative AI, and automation engineering, with hands-on experience building AI-driven systems for LegalTech, EdTech, cybersecurity, and banking domains.
I have developed production-oriented LLM applications and pipelines using GPT, LangChain, LangGraph, Hugging Face, and Groq, and I built end-to-end solutions including scheduling, APIs, persistent storage, and fast inference acceleration.
My projects include autonomous news generation, a self-healing classification DAG with DistilBERT and LoRA fine-tuning, and an LLM-powered data analysis agent supporting multi-format inputs and multimodal outputs; I have also contributed theoretical research on integrating RBMs into Transformer architectures.
I have led teams in multiple hackathons and research projects, won competitions, and consistently collaborate across ML, web development, and product design to deploy user-centered AI solutions.
Experience
Work history, roles, and key accomplishments
AI Intern
Soven Developers
Aug 2025 - Present (7 months)
Developed AI-driven LegalTech automation and EdTech intelligence systems using LLMs to summarize legal documents, automate deadline tracking, and enable AI-driven grading and analytics for global exams, improving research and assessment efficiency.
AI/ML Intern
WebMobi360
May 2025 - Aug 2025 (3 months)
Designed and deployed a deep learning ANN for customer churn prediction and built a GPT-based AI resume builder, collaborating across ML, web, and product teams to integrate models into user platforms.
AI Research Intern
SwiftSafe
Sep 2024 - Mar 2025 (6 months)
Led development of an AI-powered anomaly detection system using SOMs and deep learning, integrated GPT-based contextual log analysis to enhance threat intelligence and reduce response latency in network monitoring.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Information Technology, Kota
Bachelor of Technology, Computer Science and Engineering
2023 -
Activities and societies: Relevant coursework: Data Structures and Algorithms, Operating Systems, Computer Networks, DBMS, Machine Learning, Deep Learning, Artificial Intelligence, NLP, Software Engineering, Compiler Design, Distributed Systems, Theory of Computation, Probability & Statistics, Optimization Techniques.
Pursuing a Bachelor of Technology in Computer Science and Engineering with coursework in algorithms, machine learning, deep learning, NLP, and distributed systems.
Availability
Location
Authorized to work in
Job categories
Skills
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