Open to opportunities

Ankit srivastav

@ankitsrivastav

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Seasoned technology professional specializing in Full-Stack Python development.

India

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What I'm looking for

I am looking for opportunities that foster innovation, collaboration, and growth in AI and data engineering.

I am a seasoned technology professional with over 10 years of experience in Full-Stack Python development, Machine Learning, Deep Learning, and Natural Language Processing. My expertise lies in designing and deploying end-to-end AI solutions, building scalable backend systems, and integrating intelligent features into production applications. I am skilled in implementing MLOps practices for model lifecycle management and building robust data pipelines and APIs using modern frameworks like FastAPI, Flask, and Airflow.

Throughout my career, I have successfully led teams and managed projects that focus on delivering real-world impact through intelligent automation and data-centric engineering. My recent role as a Solution Architect at EXL Service involved end-to-end development of data engineering pipelines and machine learning models, where I translated business requirements into intelligent, data-driven solutions. I am passionate about leveraging Generative AI and LLMs for rapid prototyping and experimentation, ensuring that I stay at the forefront of technological advancements.

Experience

Work history, roles, and key accomplishments

Current

Solution Architect

Current

EXL Service

Dec 2022 - Present (2 years 5 months)

Led end-to-end development of Data Engineering Pipelines and Machine Learning Models for clients like ABACUS NYC and KPMG. Responsible for client deliverables, requirement gathering, architecture design, and developing Azure DataBricks pipelines and ETL processes. Managed teams focused on data science and data engineering initiatives.

Azure Python SQL Databricks RDBMS Project Planning

Senior Data Scientist

Value Labs

Aug 2021 - Dec 2022 (1 year 4 months)

Automated presentation and chart creation using Python and Pandas for ML models, focusing on data visualization. Led end-to-end development of Machine Learning models and a Location Predictor Application using FastAPI, Python, and AWS services. Managed MLOps, custom NER models, and deployment processes.

Python Pandas fastAPI Machine Learning AWS MLOps Custom NER Models Data Visualization

Senior Data Scientist

Blue Yonder

Feb 2021 - Aug 2021 (6 months)

Worked on a regression problem predicting Expected Delivery Time and Transit Time for E-commerce supply chain operations. Utilized tools like Google Big Query, Python, Pandas, TFX pipeline, Deep Learning, Machine Learning, Dash app, and Kubeflow. Contributed as an individual contributor to data analysis, model development, and implementation.

Big Query)Python Pandas Deep Learning Machine Learning Dash Kubeflow Supply Chain

Lead Software Developer

JP Morgan & Chase

Jun 2020 - Feb 2021 (8 months)

Developed a data analytics solution for the Financial Domain, designing and implementing a web application for Jira and Risk Indicators notifications. Utilized Python, Pandas, NumPy, Flask, Dash, and Tornado framework. Served as a Full Stack Developer responsible for end-to-end project development.

Python Pandas NumPy Flask Dash Tornado Framework Full Stack Developer Data Analytics Web Application Development

Data Scientist

Visible Alpha

Sep 2018 - Jun 2020 (1 year 9 months)

Developed and deployed predictive models using Machine Learning and Natural Language Processing for tag extraction and text classification of unknown documents. Utilized technologies including python, pandas, NumPy, sklearn, AWS, Pyspark, and NER. Focused on NLP-based model development and deployment.

Python Pandas NumPy SKLearn AWS Pyspark NER Machine Learning Natural Language Processing

Senior Software Developer

Nagarro

Aug 2015 - May 2018 (2 years 9 months)

Developed a web application and analytics solution for rail car management within the Finance domain. Utilized technologies including Python, Pandas, C#, SQL, and Machine Learning. Contributed to both web application development and data analytics aspects of the project.