I am a Data Science professional well versed in Machine Learning and Deep Learning algorithms using Python as well as on other advanced AI techniques like LLMS, Computer Vision and Natural Language Processing. I have a g…
I am a Data Science professional well versed in Machine Learning and Deep Learning algorithms using Python as well as on other advanced AI techniques like LLMS, Computer Vision and Natural Language Processing. I have a good grip on Python & other major programming languages. I am well acquainted with Google Cloud Platform Vertex AI, BigQuery, Kubeflow, AWS Sagemaker, MySQL, MS Excel, Google Sheets, Google Analytics. I am strong in data visualization using MATPLOTLIB, Plotly & Seaborn as well as machine learning modeling using Scikit Learn, Keras, Tensorflow, Pytorch, etc. I have deployment experience using Docker on AWS and GCP Vertex AI.
I am A Data Science and AI ML professional. I worked as A lead AI Engineer at Spirinova, Sr. AI Engineer at Codeglo. Earlier As a Senior Developer Data Scientist at Srijan Material+, I work on data extraction, development and implementation of machine learning and deep learning models, and machine learning pipeline implementations on Vertex AI and ML Ops on Google Cloud Platform. I also have experience working with AWS Sagemaker and other cloud services. Works mainly on Data extraction, development and implementation of ML/ DL models, ML pipeline implementations on Vertex AI and ML Ops on GCP. Can also work on AWS Sagemaker.
I have a strong background in data science, with a Bachelor of Science in Software Engineering from Swami Ramanand Teerth Marathwada University and a PG Diploma in Data Science from Naresh ITechnologies. I have also earned multiple certifications from CutShort in Machine Learning and Deep Learning. I am passionate about applying data science to solve real-world problems and create value for businesses and customers.
<p>Developed a RAG based Chatbot system using open source LLMs like Mistral, LLAMA2 and OpenAI to answer user queries.<br>
Used Ollama, FastAPI, Docker, Kubernetes and Vertex AI.</p>
<p>Worked on development of Odin AI, a product for transcribing and managing virtual meetings and using the data as knowledge base for further processing.<br>
Developed a voice command detector and parser for automation of tasks.<br>
Worked on migration of data from Firestore DB to Postgres.</p>
<p>Worked on various fast paced Data Science and Engineering projects.<br>
Mentored juniors.<br>
Worked on an Audio indexer and search system using wav2vec2, whisper and Vector DB.<br>
Developed a system to convert natural language query (NLQ) to query and narrate the results.<br>
Implemented narration pipeline.<br>
Performed prompt engineering to get the SQL query from ChatGPT API and run those SQL queries on PostgreSQL database to get results and narrate the results and display on a UI.<br>
Refactored the code as per the Clean Code architecture.<br>
Containerized the whole application with Docker for deployment.<br>
Worked on creating a LLM based Natural Language Query system for displaying patient info on a dashboard using OpenAI API, Flask and PostgreSQL.<br>
Created a Flask server for handling query requests along with UI in Flask using Jinja2 and integrating with Redshift database on AWS.<br>
Worked on creating a system for optimizing ad budget based on Marketing Mix Modelling principle.<br>
Implemented and optimized logic for MMM.<br>
Created UI using Streamlit and greedy algorithm.<br>
Worked on creating an ETL pipeline for ingestion of data from Treasure Data to Redshift DB on AWS.<br>
Designed and maintained query pipelines for EDA using AWS Redshift and Treasure Data CDP.<br>
Created a customer churn prediction model.<br>
Worked on creating a video transcription and translation pipeline using Amazon Lambda, AWS translation and transcription services.<br>
Created a web UI for accessing the service using Streamlit.</p>
<p>Coordinated with Data Engg, Platform Engg and SDE teams for implementing DAGs on Airflow for end to end MLOps pipeline.<br>
Implemented a model for anomaly detection.<br>
Scheduled periodic retraining and hyperparameter tuning for the model.<br>
Implemented data ingestion pipeline from text extraction to saving in GCP BigQuery table in tabular format.<br>
Implemented logic for getting the coordinates for the extracted address using Google Maps Geocoder API.<br>
Extracted elevation from Google Maps Elevation API.<br>
Implemented logic for finding the bedrock type from extracted text.<br>
Created pipeline to save the metadata into a separate BigQuery table.<br>
Worked on content search pipeline using Vertex AI Matching Engine.<br>
Deployed the service on GCP.<br>
Used BERT based question answer models for implementing Vertex AI Matching Engine Q&A based search.<br>
Implemented keyword based search.<br>
Created a solution for detecting and correcting skewed document scans.<br>
Created and tested the Document AI processor on GCP.<br>
Saved the data into BigQuery.<br>
Extracted patents and performance entity extraction, document classification and knowledge graph generation using GCP Document AI.</p>
<p>Performed database management, data gathering, data labeling and data wrangling.<br>
Created forecasting models on sales data using ARIMA.<br>
Created documentation and reports.<br>
Performed monthly and quarterly sales analysis.<br>
Analyzed data using statistical techniques.<br>
Performed visualization, region wise analysis and product sales assessment.</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
