CURRICULUM VITAE
Professional Summary
Experienced AI/ML Engineer with over 7 years of expertise in developing, fine-tuning, and deploying
machine learning and deep learning models, with a focus on Natural Language Processing (NLP) and Big
Data systems. Proficient in designing AI-driven solutions and automating workflows across various
industries, from ESG automation to patent data analysis. Adept in using AWS services for building and
deploying scalable, serverless machine learning systems. Proven ability to leverage AI to improve
enterprise operations, customer experience, and decision-making processes.
Core Competencies
● Machine Learning & AI: NLP, Deep Learning, AIOps, ESG Automation, Conversational AI
● Frameworks: TensorFlow, PyTorch, Rasa, Hugging Face Transformers
● Big Data: PySpark, AWS Glue, Redshift, S3, Lambda
● Cloud Platforms: AWS (EC2, S3, Glue, Lambda, API Gateway, SageMaker, Redshift)
● Languages: Python, SQL, NoSQL
● DevOps: Docker, Git, Serverless Architecture, API Deployment
● AI Optimization: Model Training, Data Pipelines, Model Fine-tuning, Forecasting Models
Professional Experience
Ameotech Informatics - Senior AI/ML Engineer
● Leading engineering efforts in AIOps for enterprise-level Generative AI, analogous to OpenAI’s
ChatGPT.
● Developed solutions leveraging Conversational AI, NLP, and automation to enhance customer
and employee experiences (CX/EX).
● Worked on solutions that enable over 95% accurate responses in any language across multiple
communication channels.
● Technologies used: Python, PyTorch, TensorFlow, AWS Services, Big Data (PySpark), NLP, Deep
Learning, Machine Learning.
Key Responsibilities and Achievements:
● AI/ML Leadership: Spearheaded multiple AI/ML projects, focusing on enterprise-level
automation, analytics, and Generative AI solutions similar to OpenAI's ChatGPT. Led the
engineering efforts in developing scalable AIOps solutions to optimize customer (CX) and
employee (EX) experiences.
● Conversational AI & NLP: Developed state-of-the-art Conversational AI and Natural Language
Processing (NLP) models, achieving over 95% accuracy across multiple languages and
communication channels. Leveraged deep learning and automation technologies to streamline
processes and enhance the overall user experience.
● ESG Data Solutions: Automated ESG (Environmental, Social, and Governance) data extraction
using advanced NLP and machine learning techniques. Built News Controversy Classification,
Category Classification, and Sentiment Analysis models to provide valuable insights into ESG
reporting.
● Patent Data Analysis: Created and deployed NLP models for global patent data analysis, with a
focus on intellectual property management and patent analysis, using cutting-edge data science
applications.
● Text Generation & Forecasting Models: Implemented financial modeling, text generation,
classification models, and forecasting models like ARIMA and FB Prophet. Developed Rasa
chatbot using BERT for question answering, delivering intelligent automation solutions.
● Cloud & Big Data Expertise: Built AWS-based data pipelines using Glue, S3, and Redshift for
data ingestion and processing. Utilized Big Data technologies like PySpark and AWS Services for
efficient data handling and model deployment at scale.
● Automation & Analytics Consulting: Provided consulting expertise on AI/ML projects focused
on automation and analytics for enterprise-level applications, delivering impactful solutions that
improved operational efficiencies.
Technologies Used :
● Python, PyTorch, TensorFlow
● AWS Services (Glue, S3, Redshift)
● NLP, Deep Learning, Machine Learning
● Big Data (PySpark)
● SQL, RapidAPI, Cloud Production
Projects & Achievements
● Developed an AIOps Platform for enterprise-level clients, reducing operational downtime by 20%
through automated monitoring and issue resolution.
● Built a Multilingual Conversational AI Model for customer support that achieved over 95%
response accuracy across multiple communication channels.
● Automated the extraction of ESG Data from large volumes of unstructured text using NLP, helping
clients streamline their sustainability reporting processes.
● Developed Patent Analysis Models using NLP techniques to classify and analyze global patent
data, improving intellectual property research efficiency.
Academics Particulars
M.Sc. in Information Technology (IT)
Punjab Technical University, Jalandhar
Post Graduate Diploma in Computer Applications (PGDCA)
Guru Nanak Dev University, Amritsar
Declaration
I hereby declare that the information furnished above is true and correct to the best of my Knowledge.
Parmjit Singh
