AI Engineer with 1+ years in Backend Systems & Cloud-Native Development
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Software Developer specializing in Security Engineering and Applied AI, with strong foundations in backend systems, REST APIs, workflow automation, and cloud-native development. Experienced in building secure, scalable AI-powered systems, monitoring pipelines, and automation workflows relevant to SecOps, and enterprise applications. Passionate about shipping production-ready systems rather than research prototypes.
SRM Institute of Science & Technology
Bachelor of Technology · Computer Science Engineering (Cybersecurity)
N/A – June 30, 2026
Lilavatibai Podar High School
High School
N/A – Present
AXIS Bank
AI Analyst Intern
May 1, 2025 – October 1, 2025
Noida, Uttar Pradesh, India
DRDO
AI & Blockchain Research & Developer Intern
June 1, 2024 – April 1, 2025
Delhi, Delhi, India
UPLAD
Software Intern
January 1, 2024 – April 1, 2024
India
Performance Optimization of LLMs for Low-Resource Systems
June 28, 2026 – Present
Built a benchmarking framework to run LLMs under 8GB RAM constraints. Achieved 35% faster inference through architectural and deployment optimizations. Relevant for on-platform AI execution and enterprise environments.
AI-Based Secure Communication Classification System
June 28, 2026 – Present
Built an NLP-based classification engine for enterprise communication streams. Integrated security logging and traceability, making the system suitable for SecOps-style platforms. Designed the architecture to be pluggable into workflow engines.
Software Engineering Simulation
Hewlett Packard Enterprise
June 1, 2026 – Present
Quantitative Research Simulation
J.P. Morgan
June 1, 2026 – Present
Data Science Job Simulation
BCG
June 1, 2026 – Present
Software Engineering Simulation
Accenture Nordics
June 1, 2026 – Present
Operations Simulation
Goldman Sachs
June 1, 2026 – Present
Cybersecurity Certificate
Google Cloud
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in AI, cybersecurity, and backend development, which aligns well with an AI Engineer role. The diverse internship experiences (AXIS Bank, DRDO, UPLAD) and certifications (Google Cloud Cybersecurity, BCG Data Science) demonstrate a proactive learning attitude and exposure to different industry contexts. The participation in hackathons further indicates a collaborative and competitive spirit. However, the experience level is entry-level, which might require mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a focus on practical application, performance optimization, and integration with security protocols, suggesting a detail-oriented and problem-solving approach. The emphasis on 'production-ready systems' indicates an understanding of operational requirements. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.