Aravind Shounik Vanga
@aravindshounikvanga
Machine Learning engineer specializing in scalable Generative AI and semantic search systems for enterprise platforms.
What I'm looking for
I am a machine learning engineer with hands-on experience building scalable Generative AI and semantic search solutions in enterprise environments. At ServiceNow I designed a RAG-enabled system with metadata-driven knowledge graphs, implemented embeddings (OpenAI, BERT, Sentence Transformers), and ensured ACL-based security and dynamic schema handling.
My background includes research on IoT blockchain data integrity, multiple applied projects in deep learning, fraud analytics, SDN flow feature extraction, and large-scale database design. I focus on robust, production-ready ML systems that integrate with business workflows and prioritize security, scalability, and measurable impact.
Experience
Work history, roles, and key accomplishments
Designed and deployed a scalable ServiceNow scoped application integrating Retrieval-Augmented Generation with a metadata-driven knowledge graph and dynamic table selection, incorporating ACL-based security and automated schema updates to enable relevance-based semantic search across business units.
Built a scalable generative AI system in ServiceNow UI Builder using GPT and lightweight LLMs for multi-turn conversational AI and ML-driven JSON code generation, and optimized prompts with ML workflows for secure metadata handling.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Hyderabad
Bachelor of Technology, Computer Science and Engineering
2020 - 2024
Grade: 8.66/10
Activities and societies: Course projects in deep learning, circular trade detection, SDN flow feature extraction, and database creation; research on IoT/blockchain data integrity; won Servicenow internship hackathon (team).
Completed a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.66/10, engaging in projects on deep learning, fraud analytics, SDN flow feature extraction, and database management.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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