Nachiketh Doraiswamy

Nachiketh Doraiswamy

Java Developer

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  • Timeline

  • About me

    Data Scientist at NEC Asia Pvt. Ltd. | Mtech at NUS in Intelligent Systems| Computer Vision| NLP| LLMs| GenAI| Langchain| MLOPS| Machine learning| AI | Experienced with Startups

  • Education

    • Imperial College Of Engineering and Research

      2012 - 2016
      Bachelor of Engineering - BE Electrical, Electronics and Communications Engineering 70

      Activities and Societies: Football, hacker rank competitions

    • The Bishop's Junior College

      2010 - 2011
      Science 70
    • The Bishop's School,Pune

      2000 - 2010
      Computer Science 84

      Activities and Societies: Playing football, taken part in tech gig competitions

    • National University of Singapore

      2020 - 2021
      Master of Technology - MTech Intelligent Systems

      Intelligent Systems is a specialized course for artificial intelligence where we learn various pattern recognition techniques, deep learning techniques, computer vision and making us capable of analyzing and building, maintaining and using various knowledge based systems.It predominantly involves Artificial Intelligence, Data Mining and Analysis, Video and Audio analytics, Machine Learning, Data Visualization, Web Analytics, Text Mining, IoT and Research.

  • Experience

    • Mphasis

      Nov 2016 - Dec 2017
      Java Developer

      Developing, enhancing websites, adding new functionalities and performing unit testing for the same. Worked on the latest trending technologies in Java-like spring boot.I also worked as a Full Stack developer in a different project in Angularjs.

    • The-Ally

      Jan 2018 - Jun 2020
      Blockchain developer / Data Scientist

      Handling a VOD project, working on ethereum smart contracts, Bigchain DB, IPFS and various consensus algorithms like proof of work, proof of stake and proof of authority. Also lead projects in building various machine learning models and analytics dashboard for the purpose of asset tracking and analysis.Built a user specific recommender system on SVD matrix, deep learning techniques and user-user collaborative filtering. Highlights:- Product development and enhancement.- Product architecture.- Database design.- Tech stack selection.- Deploying code and management of AWS instances.- Experience in Ethereum Blockchain Platform and smart contract development.- IPFS for distributed storage.- R&D- Use machine learning and deep learning for building analytics dashboard- Machine learning for asset price prediction, building a fluid movie stock market system Show less

    • Infineon Technologies

      Feb 2021 - Jul 2023
      Data Scientist

      Design and implement various cutting edge AI/ML algorithms. Working on end-to-end AI/ML projects .Highlights:- Design and implement various cutting edge AI/ML algorithms. Working on end-to-end AI/ML projects.- Computer vision based semiconductor chip failure detection based state of the art real time object detection algorithms like YOLO, SSD etc. Also implemented Siamese neural network as well as OCR based image text detection.- NLP based email and transaction content extraction. Used various models like BERT, TF-IDF, fuzzy algorithms etc.- Creating models for vector based text similarity clustering with Word2Vec, spacy, fine tuning BERT, sentence transformers.- Dashboard transaction visualization based on KPIs using Tableau and present key focus points to stake holders.- Maintained the life cycle of machine learning projects with the help of MLflow. Show less

    • NEC Asia Pacific Pte Ltd

      Oct 2022 - now
      Generative AI Engineer

      Key Responsibilities:• Extensive experience with state-of-the-art language models like BERT, GPT-2, and adept at developing domain-specific LLMs for generative AI tasks.• Expertise in leveraging BERT for semantic search as well as enhancing search capabilities.• Demonstrated skills in integrating chatbots with AWS services, creating efficient MLOPS pipelines, and ensuring seamless deployment.• Fine-tuned open source LLMs like Falcon 40b/ Falcon 7b with QLoRA and PEFT for the purpose of building an in-house generative AI based chatbot. Gathered relevant data and fine-tuned a large language model and deployed in a production environment in AWS as well as built an efficient MLOPS based pipeline using Sagemaker. Also used Langchain to deploy the LLM into production.• Worked on training LLM models using supervised fine-tuning/LoRA/QLoRA using frameworks like HuggingFace to find the best fit base model for domain use case.• Worked on deploying LLM models using compiler tools like TensorRT/vLLM with the help of low precision quantization methods like QLoRA.• Performed tasks for RAG based LLM using Elasticsearch for information-retrieval for dense vector search, fine-tuning embeddings and re-ranking models. Also experienced in sparse vector search. Show less

  • Licenses & Certifications