AI/ML & Software Engineering · Cloud Computing
B.Tech CSE · MIT-ADT University · Pune, India · Class of 2027
I turn data into predictions, images into signals, and ideas into software.
My work spans machine learning, computer vision, and full-stack applications backed by cloud services.
Selected work ↓ · Toolkit ↓ · Résumé ↗ · Connect ↓
From models to applications. Five projects across forecasting, computer vision, local services, support workflows, and document AI.
ML prototype · Explores stock-price trends with an LSTM model, technical indicators, and Reddit/news sentiment in an interactive Streamlit workflow.
Source ↗ · Inside the project ↗
Desktop prototype · Combines YOLOv8 detection with species classification, then confirms danger events with confidence thresholds, repeated detections, and alert cooldowns.
Source ↗ · Inside the project ↗
Application foundation · A local store and service platform with account flows, store registration saved to Firestore, and separate public and admin interfaces.
Source ↗ · Inside the project ↗
Full-stack helpdesk · A customer-support ticketing system with customer, support-agent, and admin roles, JWT/RBAC, assignment, comments, filters, and reassignment workflows.
Source ↗ · Inside the project ↗
Tender-readiness MVP · Turns tender PDFs into AI-assisted analysis with private storage, user-scoped history, text extraction, and Gemini OCR fallback for scanned documents.
Source ↗ · Inside the project ↗ · Live app ↗
Read the toolkit as text
AI / ML — TensorFlow · Keras · LSTM · CNN · YOLOv8 · OpenCV · Scikit-learn · Pandas · NumPy · Data analysis & visualization
Programming — Python · Java · JavaScript · TypeScript · C · C++ · Dart
Software / backend — React · Vite · Next.js · Streamlit · FastAPI · Firebase · Firestore · PostgreSQL · Supabase · REST APIs · JWT/RBAC · Docker · Git/GitHub
Cloud / infrastructure — AWS fundamentals · Networking · Virtual machines · Storage · Cloud security · Infrastructure management
PlaceMantra Private Ltd · Cloud Computing Intern
June–August 2025 · Pune
Project-based exposure to AWS fundamentals, networking, virtual machines, storage, cloud security, and deployment practices, with infrastructure troubleshooting and documentation.
Education
MIT School of Computing, MIT-ADT University
B.Tech CSE · Cloud Computing · 2024–2027 · CGPA: 8.0/10
AISSMS Polytechnic College, Pune
Diploma in Information Technology · MSBTE · 2024 · 80.31%
Sharpening problem-solving through my DSA learning journal ↗, building on AWS fundamentals, and exploring Kubernetes.
Let’s talk about machine learning, software, or an idea worth building.


