Education

  • May 2019 - April 2020
    National University of Singapore

    Masters of Technology

    Singapore

    Courses: Pattern Recognition Systems, Vision Systems, Intelligent Software Agents, Natural Language Processing

  • May 2015 - April 2019
    Christ University

    Bachelor of Technology

    India

    Courses: Artificial Intelligence, Machine Learning, Database Systems, Operating Systems, Cloud Computing

Key Skills and Competencies

TensorFlow, PyTorch, Scikit-learn, Jupyter, Apache Kafka, AWS, GCP, Azure, Snowflake, Elasticsearch, Apache Spark, Redis, Docker, MLflow, Kubeflow, Grafana, Prometheus, Hadoop, VectorDB, Ray, Machine Learning, Deep Learning(NN), Data Engineering, Data Pipelines, Model Development, NLP, Time Series Forecasting, Big Data, Data Visualization, MLOps, AI, Generative AI, Model Monitoring, Optimization Algorithms, Experimentation, A/B Testing, Scalability, Reinforcement Learning, Cloud-based Environments (AWS/Azure/GCP) , Statistical Analysis & Hypothesis Testing, Feature Engineering, CCNA, CKAD, CKA, SQL Bootcamp, Big Data Analytics (NN, ML, AI), TensorFlow for Deep Learning, Data Science & Machine Learning Bootcamp

Work Experience

  • November 2024 - Present
    Apple Inc, Singapore

    Senior Data Scientist

    Ideated and implemented a RAG-powered AI assistant to help engineers troubleshoot issues 32% faster, improving retrieval accuracy by 23.6% through query reconstruction, dynamic routing, and multi-agent retrieval using ChromaDB, LangChain, and Mistral AI.

    Fine-tuned Apple internal LLMs for an automated customer support chatbot, reducing response time by 13.8% and improving resolution accuracy by 18%, with real-time monitoring and adaptive learning.

    Engineered scalable data pipelines to process large volumes of structured and unstructured data, enabling real-time insights for inventory management and logistics optimization, enhancing supply chain decision-making.

  • March 2022 - November 2024
    ST Engineering, Singapore

    Senior MLOPs Engineer

    Fine-tuned RetinaFace for facial recognition (FR) listed on NIST and pre-trained models for vehicle detection, motion tracking, and multi-resolution video analysis in AGIL Vision, improved accuracy for security monitoring and traffic management in Abu Dhabi and Malaysia.

    Fine-tuned LLAMA and Mistral models using PEFT (LoRA/QLoRA) to optimize AGIL Vision, boosting object and action recognition accuracy by 14% to enhance public safety and smart city applications.

    Developed and optimized pose estimation and FR-based tracking pipeline for SEAB Singapore, enabling real- time tracking of body key-points and facial features to enhance interactive learning and performance analysis.

    Led 17+ video analytics projects, deploying models in production environments using Apache Spark, Airflow, and SQL, improving data processing scalability and real-time analytics.

  • June 2021 - January 2022
    Works Pte Ltd, Singapore

    Senior Machine Learning Engineer

    Developed and fine-tuned multilingual translation models using LSTM and BERT, boosting accuracy by 17%, enhancing global customer support with faster, more accurate responses.

    Built and optimized Text-to-Speech and Speech Recognition models, reducing processing time by 4.8%, improving customer service efficiency and increasing engagement.

    Designed SQL-based multilingual datasets, integrating Snowflake, BigQuery, and AWS Redshift, accelerating data access by 37%, improving operational efficiency and scalability.

  • February 2020 - May 2021
    NUS-Singtel R&D Lab, Singapore

    Research Engineer

    Fine-tuned BERT and Transformer-based models to detect APT attacks, improving threat detection accuracy, helping Singtel strengthen cybersecurity and protect critical data.

    Built machine learning solutions with 300+ features to flag anomalies in SIEM and IDS alerts, boosting detection performance, enabling Trustwave to reduce response times and prevent security breaches.

    Applied SQL with Snowflake to analyze network logs, improving anomaly detection efficiency by 9.8%, enabling Trustwave to quickly identify and resolve threats, minimizing downtime.

Languages

English
Professional
Hindi
Professional

Certifications & Licences