Text Summarization using NLP techniques
Summary
Engineered a text summarization tool utilizing advanced Natural Language Processing (NLP) techniques to generate concise summaries from extensive documents, thereby increasing content accessibility.
About
Highly detail-oriented Software Engineer with over 2 years of experience at Reckonsys Tech Labs, specializing in Python, Django, SQL, and AI/ML applications. Proven expertise in optimizing system performance by 50-60%, automating critical processes, and developing bespoke AI solutions, significantly improving efficiency and accuracy. Holds a B.Tech in Computer Science and certifications in AI and Data Science, ready to leverage robust full-stack development and machine learning skills to drive innovative technical solutions.
Work
Reckonsys Tech Labs
|Software Engineer
Bengaluru, Karnataka, India
→
Summary
Spearheaded development and optimization of critical software systems, enhancing search capabilities, data processing, and application monitoring to significantly improve operational efficiency and system performance.
Highlights
Engineered and deployed Apache Solr, optimizing indexed keyword searches and implementing diverse features that boosted search performance by 50%.
Architected and implemented asynchronous background tasks using Django and Celery with Redis caching, reducing large Excel file upload times by 60%.
Automated application health monitoring via cron jobs, enhancing error tracking efficiency by 40% through timely anomaly alerts.
Integrated SonarQube APIs to automate code quality workflows, enforcing quality gates and performing security vulnerability scanning across projects.
Executed fine-tuning of LLMs on custom-curated datasets, developing bespoke AI solutions that significantly improved model performance and domain-specific accuracy.
Reckonsys Tech Labs
|Software Engineer Intern
Bengaluru, Karnataka, India
→
Summary
Contributed to full-stack development of an Application Tracking System (ATS) and designed comprehensive user interfaces to enhance the recruitment process.
Highlights
Developed a full-stack Application Tracking System (ATS) using Django and Python, facilitating job posting, candidate management, and application processes for recruiters and job seekers.
Engineered the front-end for the ATS, designing over 20 responsive screens with HTML, CSS, and JavaScript, based on Figma models, to deliver a comprehensive user interface.
Education
Indian Institute of Information Technology SriCity, Chittor
SriCity, Andhra Pradesh, India
→
B.Tech
Computer Science
Grade: 7.65/10.0
Certificates
Data Science
Issued By
Internshala
Artificial Intelligence Combo Pack
Issued By
HCL Guvi
Skills
Programming Languages
Python, SQL, JavaScript.
Web Frameworks & Data
Django, PostgreSQL, Power BI, Linux, Celery, Redis, RabbitMQ, Apache Solr, Docker.
Developer Tools & Platforms
Git, Github, Postman, Vscode, Pycharm, DBeaver, Assembla, Jira, Canva.
Projects
Intelligent NLP-Based Question Generation
Summary
Built an NLP system to enable automated question generation and semantic search, using libraries such as Stanford CoreNLP and spaCy for NER and information extraction.