Quantative/Full-stack Software Engineer
Information
Languages
About
Main technologies
Additional skills
- MongoDB9 yrs.
- PostgreSQL9 yrs.
- Redis8 yrs.
- Docker7 yrs.
- Python Numpy6 yrs.
- TensorFlow6 yrs.
- OpenAPI6 yrs.
- LangChain6 yrs.
- TypeScript6 yrs.
- WebSockets5 yrs.
- FastAPI5 yrs.
- Tailwind CSS5 yrs.
- Node.js5 yrs.
- Npm5 yrs.
- Nginx5 yrs.
- Serverless5 yrs.
- Firebase5 yrs.
- MySQL5 yrs.
- Pandas5 yrs.
- Puppeteer5 yrs.
- Matplotlib5 yrs.
- Amazon (AWS)5 yrs.
- Amazon S35 yrs.
- Lambda5 yrs.
- Kubernetes5 yrs.
- Google Cloud (GCP)5 yrs.
- Data Science4 yrs.
- Axios4 yrs.
- OpenAI4 yrs.
- Apache Kafka4 yrs.
- Amazon DynamoDB4 yrs.
- Jest4 yrs.
- Selenium4 yrs.
- Express.js4 yrs.
- Nest.js4 yrs.
- Redux.js4 yrs.
- Next.js4 yrs.
- Artificial intelligence (AI)3 yrs.
- Redux-Saga3 yrs.
- Celery3 yrs.
Experience
Contact center platform
About the Project
It is a cutting-edge, cloud-native contact centre platform designed to revolutionise the way businesses interact with their customers. By prioritising simplicity, efficiency, and innovation, the platform streamlines every interaction across a variety of channels, including voice, digital, and self-service. Our solution empowers businesses to foster seamless communication and build meaning full relationships between customers and agents. The platform offers an intuitive interface that simplifies complex workflows, enhances agent productivity, and ensures customers receive personalised and timely support.
- Telecommunications
Responsibilities
- Built and optimized backend services where correctness, latency, and data integrity matter (transferable to “live odds updates ” pipelines); - Core Functionality Development; - Worked in event-driven architecture patterns (useful for order- flow/external-data-driven updates); - Security and Data Integrity.
Skills & technologies
Voice assistant application
About the Project
This is an application like Siri, which helps order dishes from different restaurants like Starbucks , Domino's, etc in one place using voice. Frontend part built on Next. js. The rest backend is built on NestJS and a few AWS Lambda functions created using Serverless. The system is automatically deployed using AWS services Codebuild, CodePipeline.
- E-commerce
Responsibilities
- Development o f pro ject ' s architecture and database structure; - Website performance improvement and optimization; - Led engineering delivery and system design for a production plat form with real-time behaviour and integrations; - Building Prototypes and Proof of Concepts; - Comprehensive Documentation; - Implemented and supported testing/deployment workflows in a distributed system environment.
Data-intensive SaaS platform
About the Project
It is a SaaS project for the internal administration of an existing business across several facilities. The plat form makes it easy to enter and view general and medical data on animals, manage clinical and behavior cases , track animal transfers, build family trees and animal connection graphs, and so on. It lets you easily view a wide range of useful real-time and historical statistics. The platform allows the generation of different types of reports (general, medical, and financial) for the entire farm, a group of animals, or a single animal. Also, it is possible to upload files from laboratories and process animals' medical indicators. This system quickly processes hundreds of thousands of records to calculate desired statistics.
- AgriTech
Responsibilities
- Development of project ’ s architecture; - Built and maintained a platform processing hundreds o f thousands of records to compute statistics, generate charts, and produce reports; - Delivered reliable data pipelines and validations for real-time + historical analytics (a strong foundation for model validation/backtesting workflows); - Used Pytest-based testing practices to keep complex business logic correct and regression-resistant;
Web Automation AI Agent
About the Project
Built a smart AI agent capable of performing autonomous web actions similar to a human user. The agent can open tabs, click buttons, fill out forms, extract or input data, and follow complex behaviour sequences based on user-defined instructions. It mimics browser-based interactions to automate repetitive tasks, streamline work flows, and integrate seamlessly into larger AI systems.
- E-commerce
Responsibilities
- Development o f project ' s architecture and database structure; - Designed and developed an autonomous AI agent leveraging GPT- 4; - Ensured scalable and fault-tolerant deployment of AI components within AWS Lambda and Docker environments; - Built automation workflows with robust execution logic and reliability constraints - good baseline for deterministic checks and safety rails around pricing/risk logic;
Skills & technologies
DAO analytics platform
About the Project
It is a data analytics platform that provides ranking and analysis of the top Decentralised Autonomous Organisations (DAOs) across multiple metrics. To simplify exploration of DAOs, this platform gathers and compiles quantitative and qualitative data on DAOs.
- Cryptocurrency
Responsibilities
- Development of project ' s architecture and database structure; - Data Aggregation and Integration; - Built analytics features and ranking/aggregation logic; - Improved performance and reliability in production; - User Management and Security;