Vishwaas Narasinh

Built engineering requirement quality checker using Ollama LLM and dockerized the same Built semantic code search engine with Llama 3 LLM, Qdrant vector database and dockerized it for Airbus client

Provided deep insights into wind turbine vibration data of a large wind farm using advanced statistical techniques and ML, the results of which led to two additional projects, two papers, and a patent. Combined traditional sequence analysis and siamese sentence encoder models to improve issue prediction by over 15% given the past error codes in manufacturing units and deployment along with an LLM Worked for clients such as THCM, Hitachi Astemo, Atria and Disney

1. Leading a team of 3 members on Data to Text to convert weather tabular data to natural text based on user intent 3. Implemented an edge device compatible co-reference resolution in Tensorflow. 4. LSTM and attention based Information extraction, language translation, spelling correction, classification on Korean data to classify. 5. Closely working with the research scientists and linguists from leading universities, 3rd party companies 6. Worked with clients such as Seoul Ariport, LG Pay group

1. Developed Remaining Useful Life prediction for Lithium Ion batteries based on Auto-Encoder DNN 2. Developed a next module recommendation based on the current state of the user defined workflow for Autosar configuration using RNN. This feature designed in Java and JavaFx is a USP and was well received

Bengaluru Area, India • Reduced Data consumption by Implementing Huffman encoding algorithm for TCP Transmission in C# • Implemented applications using .NET WPF, and used JSON formats to exchange data with REST webservices • Developed parts of the tool used to control light segments

• Image and video matching and comparisons in Java • Combined SIFT algorithm in OpenCV and correlation techniques to achieve better pattern matching

Statistical Learning, Structuring & Visualizing Analytics, Big Data on Hadoop, Spark, Real time, Machine learning – Supervised, Unsupervised, , Recommendation Systems, Graphical Models & Networks

Java , Assembly programming, Computer networks, microcontrollers, Linear algebra, Calculus, Complex analysis, Variational principles, probability theory, Statistics