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AI Engineer with less than a year in deep learning, NLP, computer vision, and predictive modeling.
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Assessing your cultural and operational fit
Results-driven AI/ML Engineer with hands-on experience in deep learning, NLP, computer vision, and predictive modeling. conducted applied research at NIT Calicut on ML-driven civil engineering systems. Recognized top-10% performer by IIT Kharagpur. Proven ability to architect end-to-end ML pipelines from data ingestion to deployment across healthcare, agriculture, cybersecurity, and EdTech domains.
Yenepoya Institute of Technology
B.E. · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
NIT Calicut
Machine Learning Research Intern
September 1, 2025 – November 1, 2025
India
Emotional Assistant Bot
June 30, 2026 – Present
Leading development of a multimodal AI system fusing audio and video streams to detect user emotions in real time targeting sub-200ms inference latency on consumer hardware. Designing a transformer-based fusion architecture to align temporal features across modalities, improving emotion classification robustness by 20%+ over unimodal baselines.
Agri Bot
June 30, 2026 – Present
Built a multilingual voice assistant enabling farmers to query crop/weather data in native languages, eliminating literacy barriers for ~500 potential users. Implemented audio-in / audio-out pipeline with local-language ASR and TTS; actively expanding regional language support and feature set.
ML-Based Intrusion Detection System
June 30, 2026 – Present
Trained a Random Forest classifier on network traffic features achieving 97%+ detection accuracy with < 2% false-positive rate on benchmark cybersecurity datasets. Engineered 15+ discriminative features from raw packet metadata, cutting model inference time by 30% vs. full-feature baseline.
Emotion-Driven Music Player
June 30, 2026 – Present
Developed a real-time facial emotion recognition system using OpenCV that auto-curates music playlists, mapping 7 emotion classes to dynamic music selection with 89% recognition accuracy.
Intelligent Insulin Dosage Recommender
June 30, 2026 – Present
Researching and prototyping a data-driven insulin dosage system for Type 1/2 diabetic patients, aiming to reduce clinician dependency and improve dosage precision through patient-specific ML models.
SGPA Calculator Web App
June 30, 2026 – Present
Shipped a cross-curricula SGPA calculator adopted by classmates; handles variable credit schemes and automates grade-point computation with zero manual formula setup.
Hands-on AI for Real-world Applications
IIT Kharagpur
July 1, 2024 – Present
Merit Certificate (Top 10% nationally in AI certification programme)
IIT Kharagpur
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong inclination towards impactful, real-world AI solutions, aligning well with an innovative and problem-solving culture. The diversity of projects (Agri Bot, Intrusion Detection, Emotional Assistant, Insulin Recommender) indicates a broad interest in applying AI across different domains, suggesting adaptability and a continuous learning mindset. The recognition from IIT Kharagpur and selection for an internship at NIT Calicut further highlight a drive for excellence and a proactive approach to skill development, which are positive indicators for cultural fit in a growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project development and research. The focus on real-world applications and measurable outcomes suggests a results-driven approach. The ability to work on diverse projects and collaborate (implied by project adoption by classmates) indicates good operational fit. However, direct evidence of teamwork, stress handling, or leadership in a corporate setting is limited due to the candidate's early career stage.