Sharlene Pereira
@sharlenepereira
Computer Science graduate focused on AI/ML and cybersecurity, building secure, quantum-aware systems.
What I'm looking for
I am a B.Tech (Honours in AI/ML) candidate with strong academic performance and a focused background in cybersecurity, machine learning, and quantum-secure systems. I have published in Springer and IJSREM, hold a patent, and have completed internships at Cognifyz, IBM, and SYNEGRA where I developed ML models, researched steganography and threat analysis, and applied QA practices.
My hands-on experience includes designing CNN-based IDS ensembles, ML approaches for intrusion detection on imbalanced datasets, and a CNN autoencoder for quantum key distribution error correction. I lead the Quantum Computing Club at university, hold multiple cybersecurity and quantum-safety certifications, and seek to apply my skills to build resilient, future-proof security solutions.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Cognifyz Technologies
Apr 2025 - May 2025 (1 month)
Developed and tested machine learning models for predictive analytics, improving model reliability for targeted use-cases during a two-month internship.
Gained hands-on experience in cybersecurity fundamentals, steganography, and threat analysis through a focused two-month internship.
QA Intern
Synegra EMS Limited
May 2024 - Jun 2024 (1 month)
Applied QA best practices and performed testing on PCBs, improving defect identification during a two-month internship.
Education
Degrees, certifications, and relevant coursework
Christ (Deemed to be University)
Bachelor of Technology, Computer Science and Engineering (AI/ML)
Grade: 9.14/10 (86.87%)
Activities and societies: Quantum Computing Club Head; presenter at ICDEC 2024; member IEEE Computer Society; participant in Q-Karyashala 2025 and Global Interdisciplinary Program (SUSS Singapore).
Pursuing Bachelor of Technology in Computer Science and Engineering (Honours in AI/ML) with a CGPA of 9.14/10; awarded Academic Merit Scholarship (2024–25), expected graduation May 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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