Oct 2023 – Nov 2024 · 1 yr 1 mo · Ahmedabad, Gujarat, India · On-site

• Designed, built, and deployed LLM-based solutions for diverse applications particularly in NLP,
• computer vision, and audio processing.
• ● Developed Generative AI-based text input image recommendation systems with use of Image
• captioning, Image Embedding, Vector Database, llama index, API Integration
• ● Integrated frontend with comic generation pipeline by finetune the vision models such as SDXL, Flux
• ● Created fully functional news generation Langchain pipeline to rephrase and summarize large news
• data with a container orchestration system for automating software deployment, scaling.
• ● Implemented and deployed large-scale automated online meeting multi language scheduler
• chatbot
• ● Developed a signature detection system using object detection and computer vision to identify and
• extract handwritten signatures from diverse document types such as checks, loan applications, and
• contracts.
• ● Developed Support Chatbot System with fine tune OpenAI gpt3.5 turbo model with evaluate
• checkpoints during training.
• ● Developed PoC of Langchain LLM Agents for automate generate code and push on GitHub branch

Jun 2023 – Sep 2023 · 3 mos · Ahmedabad, Gujarat, India · On-site

• Leading and guiding a technical team in the development and implementation of machine learning solutions.
• Collaborating with cross-functional teams to understand business needs and provide technical solutions.
• Effectively communicating complex machine learning concepts to both technical and non-technical stakeholders.
• Overseeing the end-to-end process of data-driven application development, from data collection and preprocessing to model fine-tuning and deployment.
• Mentoring team members, providing technical guidance, and fostering a collaborative and innovative environment.
• Ensuring the scalability and efficiency of machine learning algorithms for handling large-scale data.
• Leveraging expertise in areas such as computer vision, time series analysis, and deep learning to drive innovative solutions.
• Continuously staying updated with the latest advancements in the field of machine learning and data-driven technologies.

Nov 2022 – Sep 2023 · 10 mos · Ahmedabad, Gujarat, India · On-site

• Prepared machine learning process documentation and project proposal with the timeline.
• Designed and implemented the machine learning pipeline to predict business needs.
• Collaborating with other team members, such as Data Engineers and Software Developers to implement and deploy the model.

Jul 2022 – Nov 2022 · 4 mos · Ahmedabad, Gujarat, India · On-site

• I was offered a job as a machine learning engineer through a campus placement at F(x) Data Labs Pvt Ltd. As a professional machine learning engineer, I tried statistical and mathematical methods to analyze and model data. I designed, developed, and implemented machine learning algorithms, predictive models, and artificial intelligence systems for various industries, such as finance, education, and social media.
• 1. Detection of Offensive Language on Social Media
• Project Overview: The NLP application detects and classifies offensive language from Twitter posts, which are collected by the Twitter API.
• Technology Stack: Python, Tweepy API, ML Models, Github
• 2. Attendance System with Face Recognition
• Project Overview: Face Recognition System, which detects and recognizes students' faces, was implemented as part of the project.
• Technology Stack: Flask, Image Processing, IIS Server, Python
• 3. GMR Energy MCP Price Prediction
• Project Overview: Using a different data analysis approach, we discovered insights from the previous five years of data and collected additional data to feed into machine learning. Prediction of the Energy Bid Market Clearing Price at IEX
• Technology Stack: Pandas, Deep Learning Models (LSTM, GRU), Excel, Web Scraping (Selenium), Tableau
• I developed a data science practice using an understanding of statistics, model experimentation, and evaluation for developing and deploying state-of-the-art deep learning models. I had experience with developing production-grade Python code. I have hands-on experience leading, supporting, and working with cross-functional teams in a dynamic environment.

Jan 2022 – Jun 2022 · 5 mos · Ahmedabad, Gujarat, India · On-site

• I got the opportunity to work on real-time projects that involve using ML  algorithms and statistical models to analyse and make predictions from large datasets.
• 1. Unique Photo Count
• Online photo verification using cryptographic hashing algorithms on a large amount of data (85 GB) by identifying the unique images from the collection
• Technology Stack: Python, Multithreading, Hashing, Jupyter, AWS EC2
• 2. Video Surveillance by Headcount
• A scalable cloud-based video monitoring system that features motion detection and head counting
• Technology Stack: Python, OpenCV, TensorFlow, AWS
• 3. AI Resume Shortlisting
• created a text processing application that extracts keywords from resumes, matches them with job descriptions, and ranks the resume using NLP.
• Technology Stack: Natural Language Processing, PyPDF, BERT, GitHub
• Additionally, I also participated in the coding and development of end-to-end projects that involved data pre-processing, model selection, and training and testing.
• Moreover, I also gained knowledge in feature engineering, hyperparameter tuning, and ensemble methods that helped me build high-accuracy models.
• Overall, the internship was a great learning experience that allowed me to develop my skills and knowledge in machine learning and helped me understand how ML models can be used to solve real-world problems.

Oct 2020 – Dec 2020 · 2 mos · Surat, Gujarat, India

• I analysis and research work on Swach Bharat Mission 2021 for Surat City.

Jun 2019 – Jun 2019 · 0 mo · Surat, Gujarat, India

• I completed Industrial Training by developing system for Asset Management as part of Vocational Training.