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Entry-level AI/ML Engineer with strong programming and deep learning skills.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science student pursuing an Integrated Dual Degree with strong foundations in programming, data structures, and problem-solving. Focused on building AI systems integrating deep learning with real-world constraints.
RGIPT
Integrated Dual Degree (B.Tech + M.Tech) · Computer Science & AI
August 1, 2024 – June 30, 2029
M.I.S. International School
Class XII · Mathematics
N/A – May 31, 2024
Sunbeam School, Ayodhya
Class X
N/A – May 31, 2022
YAPASSIO Pvt. Ltd.
R&D Intern
May 1, 2025 – July 1, 2025
India
EcoPerceiverMoE – Physics-Informed Sparse MoE Climate Model
June 10, 2026 – Present
• Designed a Sparse Mixture-of-Experts (MoE) architecture replacing dense FFN layers with top-k gated experts • Implemented Physics-Informed Loss enforcing carbon-cycle constraints and ecological priors • Integrated auxiliary load-balancing loss to ensure efficient expert utilization and prevent collapse • Improved generalization across heterogeneous and data-sparse ecosystems using domain-informed learning
SanRaksha – AI Health Monitoring System (Award-Winning)
June 10, 2026 – Present
• Built a health monitoring dashboard using speech-to-text NLP for vital sign extraction • Implemented ML-based logic to assess health risks from structured inputs
Sakti-Link - Python, Edge Computing, Open-Source AI
June 10, 2026 – Present
• Voice-first, offline AI platform for skilling and micro-gigs • Local reasoning and encrypted data on community edge servers
Cultural Fit Analysis
The candidate's involvement in academic projects, hackathons, and community leadership roles (Rewriting the Code, IEEE Student Branch) suggests a proactive, collaborative, and learning-oriented individual. The diversity of projects (climate, health, edge AI) indicates a broad interest in applying AI to various domains, which aligns well with an innovative and impact-driven culture. However, the lack of extensive professional experience means cultural fit in a corporate setting, beyond academic and hackathon environments, is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-faceted problems. Participation in hackathons and leadership roles (IEEE Student Branch CS Head) indicates initiative, teamwork potential, and a proactive attitude. The R&D intern experience, though brief, shows an understanding of structured research and data analysis. However, the limited professional experience means operational fit in a fast-paced, senior engineering environment is yet to be fully proven.