Computer Science B.S. - WPI
• Took Systems Programming, Object Oriented Programming, Discrete Math, Calculus I-IV.
• Completed WPI Humanities Seminar: An Examination of the Different Communication Styles in Multicultural Teams
I am actively searching for a software engineering or tech internship to apply my skills and knowledge gained from my computer science education and projects. Proficient in programming languages like Java, C#, and Python, I am eager to contribute to an innovative organization. I'm particularly interested in opportunities to expand my technical expertise, collaborate with talented professionals, and make a meaningful impact in the technology industry. As a motivated and adaptable individual, I'm ready to immerse myself in a challenging internship to gain
valuable real-world experience in software engineering.
Hello! I'm Hanzalah Qamar, a computer science student from Worcester Polytechnic Institute (WPI). Proficient in Java, C#, and Python, I've developed a contact tracing system and a PDF reader chat application. I've also gained practical experience as a Lab Assistant/Data Analyst, digitizing informational sheets, and as a Real Estate Drone Photographer, capturing stunning media for sales and land surveying purposes.
• Took Systems Programming, Object Oriented Programming, Discrete Math, Calculus I-IV.
• Completed WPI Humanities Seminar: An Examination of the Different Communication Styles in Multicultural Teams
• An Examination of the Different Communication Styles in Multicultural Teams
• Built a contact tracing system using Raspberry Pi's, Python, and Bluetooth.
• Produced detection algorithms with Python to detect COVID-19 close contacts.
• Collected data from Bluetooth waves (RSSI Values) and studied particle physics.
• Revamped informational sheets/recipes of chemicals and transferred them to digital formats.
• Produced and increased the efficiency of adhesives and paint chemical production.
• Conducted drone media shoots for real estate sales and land surveying in RI and MA.
• Organized, edited, and published media for 130+ houses and four subdivisions.
• Developed PDF Reader Chat Application using Streamlit, LangChain, and OpenAI LLM.
• Enabled text extraction from PDFs, text splitting, embeddings, and interactive chat-based querying.