Raghav Dabra
Software Engineering Student
Raghav Dabra
Portfolio
About Me
01Experienced Software Developer with over 2 years of hands-on expertise in data analysis, cloud computing, and full-stack development, specializing in creating innovative and scalable solutions that drive business success. Proficient in key programming languages like Python, Java, and SQL, with extensive experience in leveraging leading cloud platforms such as AWS and Azure to build and deploy robust applications.
Skilled in implementing DevOps practices, including Docker, Kubernetes, and Jenkins, to streamline development pipelines, ensure continuous integration and delivery, and maintain seamless infrastructure management. Adept at using data-driven insights to enhance functionality and optimize system performance, ensuring efficient and effective business processes.
With a strong focus on process automation and operational efficiency, I have successfully collaborated with cross-functional teams to deliver high-quality projects on time and within scope. My background in cloud infrastructure and machine learning models (e.g., GPT) has enabled me to implement solutions that not only solve complex problems but also create long-term value for organizations.
Proven track record in developing scalable and secure applications, with a keen understanding of modern software architecture and best practices. Whether it’s designing and deploying cloud-native applications or optimizing business workflows through automation, I bring a blend of technical expertise and a collaborative mindset to every project I work on.
EDUCATION
Masters of Software Engineering
University of Melbourne, Australia
[ 2024 - Present ]
Bachelor of Technology: Computer Science
Vellore Institute of Technology, India
CGPA - 8.59
[ 2019 - 2023 ]
My Projects
02DDoS Attack & Pen-testing Tool-kit
Developed a comprehensive tool-kit to simulate Distributed Denial of Service (DDoS) attacks and conduct penetration testing audits, identifying security vulnerabilities in networks and web applications. Scripts were created to launch controlled DDoS and proxy attacks, testing the resilience of servers while hiding the source IP using proxies.
The tool-kit leveraged open-source utilities like SQLMap for SQL injection testing and Nmap for network scanning. It identified common vulnerabilities like directory traversal and exposed misconfigurations, providing detailed reports that helped developers improve the security and stability of their applications.
Twitter Sentiment Analysis
Designed a sentiment analysis model that classifies tweets as positive, neutral, or negative using GloVe (Global Vectors for Word Representation) and BERT (Bidirectional Encoder Representations from Transformers). I collected and pre-processed thousands of tweets to extract meaningful insights, using Exploratory Data Analysis (EDA) to identify patterns and trends.
Implemented machine learning algorithms like Naive Bayes and LSTM (Long Short-Term Memory) to increase classification accuracy. This project demonstrated how natural language processing (NLP) techniques can be applied to social media data, providing valuable insights into public sentiment on various topics.
Discord Chegg Bot
Developed an automated bot for Discord to streamline the process of fetching answers from Chegg. The bot was designed to handle user queries, automatically retrieving relevant information and responding within seconds, significantly improving user experience and workflow.
Integrated the bot with APIs and developed logic for query handling, ensuring accurate responses and reliability. This automation tool allowed users to quickly access academic resources, saving time and boosting productivity.
Exchanging Loyalty Points via Blockchain
Designed and implemented a blockchain-based platform for exchanging loyalty points between users, ensuring secure and transparent transactions. The platform tokenized loyalty points, allowing users to transfer or redeem them in a tamper-proof manner.
By leveraging blockchain's decentralized nature, the system provided high security, reducing fraud and improving trust among users. The project explored the practical applications of blockchain technology in loyalty programs and tokenization.
Work Experience
03
Soulbook
Software Developer [ Jul 2024 - Present ]
Enhancing POS system, operated by 120 restaurants seeking efficient transaction solutions involving rigorous testing to ensure software quality and reliability
Collaborated as a Business Analyst (BA), gathered 50 client requirements and translating into technical specifications to optimize system's functionality and user experience
Designed test plans for new and updated software projects, consulting with Product Development team to evaluate system interface, increasing operational efficiency by 60%
Bank of America
Software Engineer [Data Analyst] [ Jan 2023 - Jul 2024]
Analysed large datasets and managed databases (Sybase, Oracle/Exadata) deploying Python and SQL to deliver actionable insights. Collaborated with teams to construct reports, dashboards, DDS, improving processes and meeting project deadlines
Conducted release management for team, being the sole person responsible for coordinating and communicating deployment schedules across 4 different teams and presenting regular updates and summaries to senior leadership
Prepared testing requirements documents and executed User Acceptance Testing (UAT) across two locations, supervising and collaborating efforts between two teams of testers; Collaboration resulted in a 20% reduction in system bugs
Thales
Cyber Security Intern [ Nov 2021 - Dec 2021 ]
Performed primary research focused around product development determining stability, reliability & bug free. Conducted 100+ Tests & Attacks along with breaching, Bypassing Client Side & HTTP Exploits
Identified vulnerabilities and led to the implementation of improved security measures, resulting in a 90% improvement in overall security
Airtel
Software Development Intern [ Mar 2021 - May 2021 ]
Devised and delivered a leadership SMS batch attained a 99.8% success rate for all transactions processed by the Quicksilver system from the previous day
Collaborated with a 15-member backend team to gather data and perform necessary administrative tasks, ensuring timely communication of summaries via SMS to the leadership team, including the VP, Manager, Development, and QA teams
CodeGenIT
Software Development Intern [ Sept 2022 - Dec 2022 ]
Working on creating a UAT and case scenario on different projects like ecommerce and POS System
CONTACT
04If you'd like to get in touch, please feel free to connect with me on LinkedIn. On LinkedIn, I am active in discussions about network security, data privacy, and vulnerability management. I am available for interviews and I look forward to connecting with other professionals in the cybersecurity field.
Github
I am an aspiring cybersecurity, Data analyst student and avid tech enthusiast. I can be found on Github, where I participate in the open source community. I am always searching for different ways to learn and share knowledge pertaining to cyber security. I stay up to date with the newest technology, vulnerabilities, trends, and cyber security advancements. If you are looking to collaborate with someone who has a passion for learning and innovation, then you've come to the right place!
