We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Shivam S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Natural Language Processing, LLM Prompt Engineering, Transformer Model, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: AI-Wealth Management, HR Email Classification and Extraction System, Text-To-SQL, Speech to Text, Document Extraction. I am based in Basti, India. I've successfully completed 5 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
Main technologies
2 years
1 Year
1 Year
1 Year
Potentially possible
Hobasa India Pvt Ltd
automates key information extraction from bank statements (e.g., HDFC, ICICI, YES, SBI) using LLM. It retrieves personal details (name, account number, IFSC) and transaction data, storing them in a re
The HR Email Classification and Extraction System enhances the organization and processing of HR emails by automatically classifying, extracting, and storing data. This streamlines workflows, enabling
This project translates natural language business questions into SQL queries using fine-tuned Llama models. By enabling non-technical users to interact with databases, it automates SQL query generatio
Speech-to-Text Conversion Using Azure for Healthcare Domain
This project utilizes Large Language Models (LLM) to extract key entities from a variety of document types. Supported documents include: Invoices Purchase Orders Purchase Requests Purchase Requisitio
Bachelor of Computer Science (BCompSc) in
2015-01-01-2019-01-01