
Nachiketh Doraiswamy
Java Developer

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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 - 2016Bachelor of Engineering - BE Electrical, Electronics and Communications Engineering 70Activities and Societies: Football, hacker rank competitions

The Bishop's Junior College
2010 - 2011Science 70
The Bishop's School,Pune
2000 - 2010Computer Science 84Activities and Societies: Playing football, taken part in tech gig competitions

National University of Singapore
2020 - 2021Master of Technology - MTech Intelligent SystemsIntelligent 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 2017Java DeveloperDeveloping, 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 2020Blockchain developer / Data ScientistHandling 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 2023Data ScientistDesign 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 - nowGenerative AI EngineerKey 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
- View certificate

Data Visualization on the Browser with Python and Bokeh
UdemyDec 2019 - View certificate

The Basics of Hyperledger Fabric
UdemyNov 2017 - View certificate

The Complete Node.js Developer Course (3rd Edition)
UdemyMay 2019 - View certificate

Become a Blockchain Developer with Ethereum and Solidity
UdemyDec 2019 - View certificate

IELTS band 7+ prep course
UdemyNov 2019
Languages
- enEnglish
- hiHindi
- maMarathi
- taTamil
- teTelegu
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