Vijay Devane

Experience

• 

  EvolvingX

  Feb 2021 - Jul 2021

  Research And Development Intern

  • Worked on research and development of Brain Computer Interface (BCI) devices.• More focused on hardware design, synchronization of hardware and software with ML based technologies.

• 

  Chegg Inc.

  Jul 2021 - Jan 2021

  Managed Network Expert

  • Electrical Engineering Managed Network Expert.• Solving the problems and providing effective solution which are related to the subject like Electrical Engineering, Electronics and Telecommunication Engineering.

• 

  Tata Consultancy Services

  Sept 2021 - Jan 2021

  Research Intern

  • Developed an effective CRNN network to enable entity and knowledge extraction from documents.• Got the value of Jaro as 0.9172 and Ratio as 0.8879 with accuracy of 80.78% this helps in OCR technology.• Also, completed the training on soft skills such as communication, time management, team building etc.

• 

  Culinda Inc.,

  Jan 2022 - Jan 2022

  Software Developer Intern

  • Developed algorithms and APIs to enhance security by detecting host configuration issues (e.g., exposed .git directories) and performing tasks like subdomain enumeration, retrieving domain owner details, and listing DNS records (MX/NS).• Successfully built a multi-featured threat intelligence platform using FastAPI, incorporating serverless Azure Functions to deliver advanced threat detection and response capabilities.• Managed and optimized Azure Functions and API infrastructure, ensuring seamless deployment and integration with a MongoDB database for efficient data storage and retrieval. Tunjukkan kurang

• 

  Digitate

  Jul 2022 - now

  Machine Learning Engineer

  • End-to-End Algorithm Design & Development: Led the design and development of core algorithms, creating innovative solutions that enhanced key functionalities and significantly impacted product performance.• Advanced Generative AI Architectures: Implemented an agentic RAPTOR-based Graph RAG architecture with error correction for Q&A and insights over structured data. This innovation enabled over 80% automation in data insights through conversational interactions and memory.• Scalable PII Detection System: Engineered a real-time PII detection system using pattern-based methods, sequence labeling, and transformer-based NER algorithms, processing over 1 million log entries daily and ensuring GDPR compliance across various use cases within ignio, including LLM-based applications.• NLP-Powered Chatbot & Knowledge Article Recommendation System: Built an NLP-powered chatbot based on DIET architecture, supporting 400+ intents and 1,200+ knowledge articles. Designed and deployed a BI-LSTM-based knowledge article recommendation system, rolled out successfully to 3,000+ employees, with a pipeline that auto-corrects misclassified tickets with 96% accuracy.• Expert Sessions & AI Knowledge Sharing: Conducted organization-wide expert sessions on cutting-edge AI topics, including Generative AI, Transformers, Autonomous Conversational Agents, and Named Entity Recognition (NER), fostering a culture of continuous learning and innovation. Tunjukkan kurang