AI / ML & Deep Learning
End-to-end model design, training, and evaluation—from classical ML to transformers and temporal architectures for video and vision.
Welcome to my world
3rd year B.Tech Computer Engineering at MIT Academy of Engineering, Pune · Building real-world AI/ML, computer vision, and full stack systems.
Pune, Maharashtra, India
About Me
I am a 3rd year Computer Engineering student at MIT Academy of Engineering, Pune, passionate about building real-world AI and Machine Learning systems. I have hands-on experience in Deep Learning, Computer Vision, and Full Stack Development.
I led the model design for a video engagement prediction system in collaboration with industry partner BeMotion, and independently built and deployed a Visitor Management System during my internship at Godrej Industries Limited.
I enjoy solving complex problems mathematically and turning research ideas into working systems. When I am not coding, I am exploring new AI research, learning cloud technologies, or working on development projects.
Features
End-to-end model design, training, and evaluation—from classical ML to transformers and temporal architectures for video and vision.
Feature extraction, hybrid visual + semantic pipelines, and practical CV systems using OpenCV and modern deep networks.
Production Django + PostgreSQL backends, React/Node stacks, REST APIs, JWT auth, and deployable business workflows.
Selected work
Deep Learning · BeMotion Team
Frame-level engagement scores and drop-off detection with dual-branch visual + semantic features (ResNet50, CLIP, BiLSTM, Transformer).
View on GitHubResearch · Hyperspectral Team
Unsupervised anomaly detection for 224-band imagery using Robust PCA and Deep Belief Networks for surveillance-style use cases.
View on GitHubDjango · Godrej Internship Solo
Production VMS with QR tracking, approvals, RBAC, and PostgreSQL—~70% faster check-in, ~90% less manual processing.
View on GitHubFull Stack Team
React, Node, PostgreSQL platform with attendance, tasks, RBAC, and secure REST APIs (BeMotion collaboration).
View on GitHubMachine Learning Solo
Ensemble models with feature engineering using Scikit-learn, Random Forest, and XGBoost.
Repository available on requestDjango · E-commerce Team
Online pharmacy with customer & seller modules, products, and authentication flows.
Repository available on requestEducation & credentials
MIT Academy of Engineering, Pune · 2023 – 2027
Vidhyamangal School, Bharuch · 2023
Vidhyamangal School, Bharuch · 2021
Godrej Industries Limited · June 2025 – July 2025
Industry & partners
Industry partner
Led model design and training for a deep learning video engagement and drop-off prediction system—hybrid temporal and semantic features, production-oriented ML pipeline.
Internship
Built and deployed a Visitor Management System end-to-end: QR workflows, approvals, compliance-oriented digital safety, and scalable backend architecture.
Learning
IBM SkillsBuild
View credentialIBM SkillsBuild
View credentialTechSaksham · Microsoft, SAP, Edunet
View credentialInfosys Springboard
View credentialAmazon Web Services
View credentialAnthropic Academy
Credential on Anthropic Academy profile
L&T EduTech
View credentialToolbox
AI/ML Engineer · Computer Vision · Full Stack Developer
Open to internships, research collaborations, and impactful product teams. Reach out via email or LinkedIn.
Pune, Maharashtra, India