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Alex Jolly

A passionate Data Science research developer with more than two years of experience in Exploratory Data Analysis using Python in a large amount of time-series data. Have done projects on Data Science with RDBMS, and IoT-embedded programming. Self-motivated with an interest in Data Analysis, Machine Learning, and Applied Mathematics. Active in tech and developer communities.

  • Role

    Sr. ML & webassembly engineer

  • Years of Experience

    5 years

Skillsets

  • Embedded Programming
  • TensorFlow
  • Rust
  • Quantization
  • PyTorch
  • Python
  • OpenAI SDK
  • Machine Learning
  • LangChain
  • IoT development
  • Generative AI
  • Data Visualization
  • DevOps
  • Deep Learning
  • Database Design
  • Blockchain development
  • AWS Services
  • Vector databases
  • Time Series Analysis
  • Retrieval-Augmented Generation
  • Natural Language Processing

Professional Summary

5Years
  • Dec, 2023 - May, 20251 yr 5 months

    Sr. ML Engineer

    ELNA.ai
  • Apr, 2023 - Aug, 20241 yr 4 months

    Data Science / Machine Learning Mentor

    Entri
  • Nov, 2022 - Dec, 20231 yr 1 month

    Sr. Data Scientist

    Excelledia Digital Innovations
  • Sep, 2020 - Oct, 20222 yr 1 month

    Big Data Scientist

    Tranzmeo IT Solutions

Applications & Tools Known

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    Python

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    PostgreSQL

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    Git

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    MongoDB

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    Tensorflow

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    Scikit-learn

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    NLTK

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    Cassandra

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    MQTT

Work History

5Years

Sr. ML Engineer

ELNA.ai
Dec, 2023 - May, 20251 yr 5 months
    Led the Generative AI and Web3 development teams focused on building decentralized AI infrastructure. Designed and implemented a custom VectorDB in WebAssembly (WASM) using RUST, deployed on the Internet Computer (ICP) blockchain. Developed and deployed an inference engine for vector embedding models in RUST, optimized for ICP. Experimented with multiple GPT-based models, fine-tuned and quantized them for RAG tasks. Architected and deployed a complete end-to-end RAG system entirely on blockchain.

Data Science / Machine Learning Mentor

Entri
Apr, 2023 - Aug, 20241 yr 4 months
    Instructed learners in Python programming, guided students through data analysis, visualization, and ML workflows. Provided mentorship on building models using Scikit-learn, TensorFlow, and PyTorch.

Sr. Data Scientist

Excelledia Digital Innovations
Nov, 2022 - Dec, 20231 yr 1 month
    Worked on ISOROBOT enterprise management system and ClinialNet clinical trial platform. Developed PDF document extraction system, NLP-based question generation, visualization, chatbot development, and patient recruitment analytics.

Big Data Scientist

Tranzmeo IT Solutions
Sep, 2020 - Oct, 20222 yr 1 month
    Handled anomaly detection and intrusion detection systems for oil and gas pipelines with distributed fiber sensors. Worked on EDA, deep learning, IoT analytics, DevOps, TensorFlow models serving, security tracking, and leak detection systems.

Achievements

  • Presented a project on the international FAB community conference FAB15-EGYPT held in Egypt (2019)
  • Winner of AI Fest 2.0 – conducted by IEDC COET powered by KSUM (2019)
  • Selected in Idea Fest -2019 organized by Kerala Startup Mission
  • Runner-Up of India Skills Kerala 2018 organized by Govt. of Kerala and KASE. Also participated in south zone national level 

  • Presented a project on international FAB community conference FAB15-EGYPT held in Egypt (2019)
  • Winner of AI Fest 2.0 conducted by IEDC COET powered by KSUM (2019)
  • Selected in Idea Fest -2019 organised by Kerala Startup Mission
  • Runner-Up of India Skills Kerala 2018 organised by Govt. of Kerala and KASE

Major Projects

5Projects

ClinicalNet

Excelledia Digital Innovation
Nov, 2022 - Jan, 2023 2 months

    It is a clinical trial recruiting platform using NLP

T-Connect OneView

Tranzmeo IT solutions
Sep, 2020 - Oct, 20222 yr 1 month

    Anomaly forensics & Intrusion detection in oil and gas pipelines

    It is a revolutionary anomaly forensic solution powered by cutting-edge artificial intelligence and machine learning. The system will process the raw data generated from DAS (Distributed acoustic sensing ) Systems. The system is cable of handling a high signal-noise ratio. Also, the T-Connect OneView will seamlessly be integrated with the Security tracking system (STS). Along with the alarm escalation matrix, our system also provides a role-based authentication system and alarm resolution system in the build. The T-Connect OneView system also provides the exact geo-coordinates of the anomaly and intrusion.

Pig tracking

Tranzmeo IT solutions
Jan, 2022 - Oct, 2022 9 months

    Realtime tracking of Pigging (Inspection and cleaning of large pipelines)

Private intelligent IoT platform

Jan, 2019 - Jan, 20201 yr
    A smart voice assistant using RASA NLU works with offline real-time monitoring and control devices connected to a private network with a locally hosted MQTT server and offline APIs.

IRIS (Intelligent Realtime Interactive System)

Jan, 2018 - Jan, 20191 yr
    An interactive mirror showing live news updates, weather forecasting, calendar, and real-time IoT home automation, integrated with Face and Emotion Recognition using Deep Learning.

Education

  • Bachelor of Technology in Electronics & Communication Engineering

    Federal Institute of Science And Technology (FISAT), Angamali (2020)

Certifications

  • Introduction to data science in python by university of michigan (may 2020)

  • Applied plotting, charting & data representation in python by university of michigan(may 2020)

  • Applied machine learning in python by university of michigan(august 2020)

  • Apache spark fundamentals - handling fast data with apache spark sql and streaming.(february 2022)

  • Applied text mining in python by university of michigan(august 2020)

Interests

  • Listening Music
  • Travelling
  • Animal & Bird
  • Dance