Machine Learning Software Development

NASEEB GREWAL

PROFILE

Phone: +49-176******** Email: **************@*****.*** Address: Mannheim 68723, Germany Linkedin : Here About Me: Goal-oriented, fast learner and an excellent team player with an extensive academic background, looking for a Full time job in Software Development, Machine Learning, Data Science & Generative AI Field. SKILL SUMMERY

• Programming Languages: Python, C++, NodeJS, ReactJS, JavaScript, & SQL

• Software Development: Proficient in OOPs, Data Structures & Algorithm

• Machine Learning: Numpy, SK-Learn, Matplotlib

• Deep Learning: Tensorflow, PyTorch, NLP with RNN, Sentiment Analysis

• Large Language Models (LLMs): GPT-4-Turbo, GPT-4 32K, GPT3.5 Turbo 16k, Davinci, DALL-E

• LLM frameworks: LangChain, Microsoft’s Semantic Kernel (RAG Architecture)

• Integrated Development Environments (IDEs) : Visual Code Studio, PyCharm, Eclipse

• Microsoft Platforms: MS Office 365, Power BI, Power Virtual Agents, Power Automate, Power APPs

• Version Control & Collaboration : Gitlab, Github

• DevOps & Containerisation: CI/CD, Docker

• Project Management & Issue Tracking: Jira (Kanban Agile Methodology, and Sprints)

• Documentation: Confluence

• Data Processing & Analytics: Databricks, Apache Spark

• Notebook & Code Sharing: Jupyter, Google Colab

• Software Testing Methods: Unit Tests, Integration Tests, Acceptance Testing, Performance Testing

• Cloud Computing: Azure Cloud (Azure Functions, Azure Cognitive Search, Azure Storage, Azure Keyvault etc.)

• Databases: Mongo DB, Redis, Neo4j

• Soft Skills: Quick Learner, Skilful leader, Team player and effective communicator EXPERIENCE

Working Student, Software Engineering & Generative AI Technology Heidelberg Materials, Heidelberg, Germany — May 2023 - March 2024

• Tasked with creating Software architecture, building models and process pipelines for Generative AI use cases.

• Built scalable chatbots powered by RAG architecture using Power Platforms, Azure Cloud & LangChain

• Chatbots integrated inside MS Teams using Power Virtual Agents and Power Automate.

• Assist in developing an api for root cause recommendation using Gen AI (Azure Open AI’s GPT models).

• Assist in email automation service for 1000s of customer emails/day using LLMs for customer support.

• Built complete codebase for chatbots on gitlab & worked on CI/ CD pipeline along with other developers.

• Performed various software testing method on the application such as unit testing, Acceptance Testing etc.

• Built and deployed different types of Azure function (Http Trigger, Blob trigger, Timer Trigger etc. )

• Learned about MLOps and using Azure Databricks for big data analysis and ML Flows for model deployments

• Successfully impacted the 100% customer support, 60% chatbots and 90% rafa team in their work efficiency.

• Collaborated with Software Engineer, Cloud Developers, ML Engineers, Data Scientists and Data Engineers. Machine Learning & Deep Learning Student Kaggle — Jan 2023 - May 2023

• Learned on building a Transformer model for text generation & summarization, machine translation, and NLU

• Worked on creating a diffusion model for text to image and Image to Image generation

• Developed ARIMA, SARIMA models for Time series data analysis and predictions

• Developed Query Search Engine using RESTful HTTP API, Docker, and NLP TF-IDF Model

• Cat & Dog Image Classification using CNN and attained 94% Test accuracy on dataset of 60K images

• NLP with RNN & LSTM: Sentiment Analysis of movie review and achieved 85% accuracy on 25k IMDB dataset Working Student, Content Edit & Curation SAP, Walldorf, Germany — Jul 2022 - Jan 2023

• Assigned to develop Sharepoint using MS PowerApps

• Build new podcast series websites using Wordpress System

• Coordinated certificate distribution to SAP Learners using MS Excel

• Successful collaboration with different teams to enhance learning experience with OpenSAP and implementation of email send out flow using Power Automate Machine Learning Research Assistant Raman Classes, Roorkee, India — Mar 2020 - Sep 2021

• Involved in a project for Spam detection using Machine Learning and Neural Networks.

• Published a research paper on Email Spam Detection using Machine Learning & Feature Optimization Method

• Evaluated and compared result of Neural Networks, Naive Bayes’, KNN, Decision Tree, Logistic Regression

• Successfully built a DNNs model to predict the best duration & weekdays to purchase flight tickets and developed a warning system to ensure exam integrity by alerting users when eyes deviate from the screen. Internship Data & Business Analyst, Meesho, Bangalore, India — Jun 2019 - Aug 2019

• Worked on projects requiring collaboration of different departments (Business Dept., IT Dept.).

• Write Python codes in Anaconda to inspect and visualize data.

• Wrote SQL queries, retrieved data and identified patterns using MS Excel, Pivot table.

• Successfully achieved goals with better than expected results. PROJECTS

Masters Thesis Using Generative AI for Data Interaction & Code Review Process — Sep 2023 - Jan 2024

• Built two chatbots powered by RAG architecture named My Data Assistant & My Code Reviewer

• Created the complete pipeline to interact with different document formats (pdf, txt, pptx, docx, etc. )

• Used prompt Engineering techniques, Azure Open AI for model selection, AI Search to index document data.

• Used advanced search like Semantic Search, Vector Search & Semantic Hybrid Search

• Successfully integrated the multi-language support in chatbots using Generative AI

• Successfully built and deployed a user-friendly Interface to interact with the chatbots. Receipt Sharing System, ReactJS, NodeJS, Docker, PostgreSQL — Apr 2023 - June 2023

• Tasked with learning ReactJS, CSS, and Bootstrap to develop a Recipe sharing Web App.

• Built the backend API and implemented User authentication and authorization using JWT.

• Used Supabase’s PostgreSQL database for data storage and deployed the project on Docker.

• Utilized Git version control and Github for project development and collaboration.

• Successfully built and deployed a user-friendly recipe sharing platform. Hospital Management System, Python, Flask, Matplotlib, MongoDB, Neo4J — Mar 2023 - May 2023

• Required to build a patient feedback web application using Python & REST API.

• Used NoSQL databases MongoDB and Redis to handle queries, update, and modify entries.

• Matplotlib for graphical data visualization to make data-driven decisions to improve the patient experience.

• Successfully developed hospital management system that improved patient feedback and data visualization. EDUCATION

SRH Heidelberg, Heidelberg, Germany — Applied Computer Science (Master of Science), 2022 - 2024 (Grade: 1.8) IIT Roorkee, Roorkee, India — Polymer Science & Technology (Bachelor of Technology), 2016 - 2021 Achievements/Certificates:

• Deep Learning Specialization

• Machine Learning Specialization

• Computer Vision certificate

• Machine Learning with Python, FreeCodeCamp

• Machine Learning with Python: Jovian

• Data Analysis with Python: Zero to Pandas, Jovian

• Data Analysis with Python, FreeCodeCamp

• Scientific Computing in python, FreeCodeCamp

• Gold Start Python HackerRank

REFERENCE

Kristina Alexandra Diana John

Manage Advanced Analytics & MLOps

Heidelberg Materials AG

Heidelberg, Germany

Email: ********.****@*******************.***

Phone: +49-171-*******

Walid Hussein

Product Owner Intelligent Automation

Heidelberg Materials AG

Heidelberg, Germany

Email: *****.*******@*******************.***

Contact this candidate