Parth Chaturvedi

Software Engineer

Hyderabad, Telangana, India7 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

7+ years in scalable application development.
Expertise in serverless backend and AWS infrastructure.
Recognized 3x MVP for outstanding contributions.

Stackforce AI infers this person is a Full-Stack Developer with expertise in Machine Learning and AWS in the Healthcare and FinTech sectors.

Contact

Skills

Core Skills

Machine LearningAwsData EngineeringFull-stack Development

Other Skills

AWS FargateAWS LambdaAmazon EC2Amazon Web Services (AWS)Angular 6ApacheApache KafkaArtificial Intelligence (AI)Bootstrap 4CC (Programming Language)C++Cascading Style Sheets (CSS)Continuous Integration and Continuous Delivery (CI/CD)Core Banking

About

Passionate about building scalable, high-performance applications with expertise in serverless backend development, AWS infrastructure, data science, and machine learning models. With 7+ years of experience, I have contributed to FinTech, EdTech, and Healthcare domains, developing solutions that impact millions of users.Currently at Sanofi, I work on SIMPLY, an ML-driven platform, enhancing data analytics, machine learning capabilities, and cloud-native solutions. I have experience developing and optimizing ML models for predictive analytics, process optimization, and anomaly detection. My previous roles at PowerSchool, Yes Bank, and ICICI Housing Finance involved designing and optimizing microservices, data pipelines, and AI-driven applications.💡 Tech Stack: .Net, C#, Python, Node.js, TypeScript, Java, AWS (Lambda, DynamoDB, OpenSearch, ECS, SQS), React.js, Docker, Kafka, Spark, TensorFlow, PyTorch, Scikit-learn, Pandas.🏆 Recognitions: 3x MVP Award Winner (PowerSchool, Yes Bank) for outstanding contributions.🚀 Certifications: AWS Certified Developer (Associate), Advanced Prompt Engineering, Machine Learning & Data Science (Coursera).Let’s connect! Always eager to discuss serverless computing, cloud architecture, data science, ML models, and AI-driven innovations.

Experience

7 yrs 6 mos

Total Experience

2 yrs 11 mos

Average Tenure

1 yr 8 mos

Current Experience

Sanofi

Lead Engineer

Oct 2024 – Present · 1 yr 8 mos · Hyderabad · Hybrid

At Sanofi, I contribute to the development of SIMPLY, an advanced ML-driven platform designed to optimize manufacturing processes, enhance data analytics, and provide actionable insights for production efficiency.
Key Contributions:
✅ Developed ML models for process optimization, including Regression, LASSO, Random Forest, and XGBoost, to predict and improve yield efficiency.
✅ Implemented the Yield Insights module, leveraging machine learning to analyze historical production data and identify key process parameters affecting batch yield.
✅ Designed and optimized Batch Similarities Finder, using clustering algorithms (K-Means, DBSCAN) and time-series forecasting to compare and evaluate batch performance.
✅ Built the Raw Material Characterization module, utilizing Principal Component Analysis (PCA) and Neural Networks to analyze raw material variability and its impact on production metrics.
✅ Integrated AWS AI/ML services (SageMaker, Glue, Lambda, OpenSearch) to deploy scalable models for real-time insights and automated decision-making.
✅ Improved data pipelines, ensuring efficient processing of manufacturing data from Kafka, Spark, and Hive, enabling real-time analysis and reporting.
Tech Stack:
🔹 ML & Data Science: Regression, LASSO, Random Forest, XGBoost, PCA, Neural Networks, Time-Series Forecasting, Clustering (K-Means, DBSCAN)
🔹 Backend & Cloud: Python, Java, NestJS, Node.js, AWS (Lambda, Glue, OpenSearch, ECS, SQS, Fargate, DynamoDB)
🔹 Data Engineering: Snowflake, Kafka, Spark, Hive, Pandas, TensorFlow, PyTorch
🔹 Frontend & DevOps: React.js, Webpack, SCSS, Docker, Jest, Sinon
At Sanofi, my focus is on bridging machine learning with real-world manufacturing challenges, ensuring data-driven decision-making and enhanced production efficiency.

PythonJavaAWSMachine LearningData AnalyticsData Engineering

Powerschool

Software Engineer 2 - R&D

Nov 2021 – Oct 2024 · 2 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

MyPowerSchool
Developer for MyPowerSchool Product, an upcoming unified solution for all
PowerSchool products and handling a database of 100 million users.
Contributing as a Full-Stack developer with expertise in serverless backend
(using TypeScript, Node.js, Python, AWS, AWS-CDK, AWS-Lambda,
AWS-Opensearch, EC2, SQS, Fargate, DynamoDB, Docker, Jest, Sinon) and
MicroFrontends (using React.js, HTML5, SCSS, Webpack).
Have an experience setting up Data pipeline using Apache, Kafka, Hive and
Spark. Also have certain knowledge about AWS Glue
Naviance
Contributing as a Full-Stack developer with expertise in serverless backend
(using TypeScript, Node.js, Python, AWS, AWS-CDK, AWS- Lambda,
AWS-Opensearch, EC2, SQS, Fargate, DynamoDB, Docker, Jest, Sinon) and
MicroFrontends (using Angular, React.js, HTML5, SCSS, Webpack).

TypeScriptNode.jsPythonAWSMicroFrontendsData Pipeline+1

Appiyo

2 roles

Senior Software Engineer

Jan 2021 – Oct 2021 · 9 mos

YES Bank:-
A. Savings Account Portal.
B. Customer Self Service Portal:-
The Customer Self-Service Portal gives the Yes Bank customers the privilege to
update their information through Net Banking, on both the Desktop and the
Mobile.
Currently, below listed services are considered for the customers to update
through the Customer Self-service Portal:
Updation of Email
Updation of PAN
Updation of Address
Profile Update
Seed Aadhaar for DBT benefits
Update Landline Number
Updation of Mobile Number
Open Fixed Deposit
ReKYC Service – Low Risk
ReKYC – Medium / High

Software Engineer

Oct 2018 – Dec 2020 · 2 yrs 2 mos

ICICI Housing Finance :-
A. Quick Data Entry and Detailed Data Entry
This project was meant for ICICI HFC for the purpose of onboarding of customer through different channels and so it is known as Omni Channel System(OCS).
1. Developed wireframes, site maps and content inventories for new website designs.
2. In this process we have acquired leads from different channels and then we have created an application for Quick Data Entry (QDE) of that lead, various role registrations, Lead Generation, Document Verification and Upload, redirect lead to payment gateway of ICICI bank ie. EASYPAY and to check the Soft Eligibility(CIBIL) for that lead.
3. Used Agile methodology and determined coding requirements for site creation, including banking capability and specialized scripts.
4. Used GITHUB as a version control tool
5. Next phase of this project includes detailed data entry (DDE) of the lead for further processing of the application.
6. Involved in Requirement gathering and design document.
7. Developed forms using Angular Forms as code behind language.
8. Converted HTML and JavaScript into Angular compatible components.
9. Developed RESTful WebApi using NodeJS as code behind language and MongoDB as database.
10. Consumed this API's through Angular 7 as a frontend framework.
11. Using bootstrap and angular material, I have created interactive pages for the application.
12. Involved in project deployment on NGINX Server.
13. Unit testing module level.
14. Interfaced with cross-functional team of business analysts, developers and technical support professionals to determine comprehensive list of requirement specifications for new applications.

Nayara energy

2 roles

Internship

May 2016 – Jul 2016 · 2 mos · Jamnagar, Gujarat, India

1. Power Generation through 1010 MW Liquid Fuel Boiler, Gas Turbine and Coal Based Power Plants combinedly for its adjacent Refinery Complex
2. Transmission of power at 220 KV voltage levels.
3. Distribution of power in power plant to run the auxiliaries of power plant
4. Distribution, Load Shedding and Grid Islanding Scheme of power in Refinery Complex through MRSS
5. Study on Auto Transfer Scheme during Power Failure

Internship

Jul 2015 – Jul 2015 · 0 mo · Jamnagar, Gujarat, India

1. Distribution of power in refinery complex through Main Receiving Sub-Station
2. Different uses of Power in PIT, DISPATCH, DCU, DHDS units
3. Study of HVAC
4. Use and complete electrical structuring of Bucket Crane in Delayed Coker Unit