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Schedule Interview NowMy name is Subash B. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Python, PostgreSQL, JavaScript, node.js, etc.. I hold a degree in Bachelor of Engineering (BEng), . Some of the notable projects I’ve worked on include: Job Scraping LinkedIn, Indeed, Zip Recruiter and Glassdoor, Advanced RAG Chat Application with Llama3, LlamaIndex, and Qdrant, Nepali Speech-To-Text, News Scraper, Hospital Management System, etc.. I am based in Toronto, Canada. I've successfully completed 8 projects while developing at Softaims.
Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.
My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.
I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I’m motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.
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Element AI
Scrape jobs from Indeed, LinkedIn, Zip Recruiter and Glassdoor with various search terms
Tools Used: - Ollama - Llama3 - LlamaIndex - Qdrant - Streamlit RAG Mechanism: - SimpleDirectoryReader (the simplest way to load data from local files into LlamaIndex) - SentenceWindowNodeParser (split a document into nodes. Each node also contains a window of surrounding sentences in its metadata) - Qdrant Vector Store - BAAI/bge-small-en-v1.5 Embedding - MetadataReplacementPostProcessor (replaces the text of each node with the value of the "window" metadata key) - SentenceTransformerRerank (Rerank can speed up an LLM query without sacrificing accuracy (and probably improving it).
Speech-to-Text is an Automatic Speech Recognition system developed for National Assembly and House of Representatives of Nepal. STT uses Angular, Ruby on Rails and Python for front-end, backend and model computation respectively.
The project is based on online news scraping for nepali online news site 'onlinekhabar'
I created a complete hospital management system using Odoo. We have it running successfully in (undisclosed) hospitals. Odoo uses Python scripting and PostgreSQL. The software is accessed via a web browser in a one-page app developed in JavaScript.
Bachelor of Engineering (BEng) in Computer engineering
2014-01-01-2018-01-01
in Artificial Intelligence and Machine Learning
2024-01-01-2026-01-01