π Applied ML | Data Science | GenAI | NLP | Computer Vision
- B.E. in Computer Engineering, Thapar Institute of Engineering & Technology (CGPA: 8.14)
- Passionate about Machine Learning, NLP, Computer Vision, and GenAI Systems
- Interested in production-ready ML, causal analytics, and AI research
- Actively exploring open-source contributions in ML/MLOps and AI tooling
π Published Paper: https://www.researchgate.net/publication/396917311
- Built a real-time computer vision system using YOLOv8-seg + SORT tracking
- Achieved 0.557 AP and 15 FPS for real-time patient tracking
- Implemented Kalman Filtering + Hungarian Algorithm for identity persistence
- Benchmarked multiple YOLO architectures (v5s6, v5m6, v5x6, v8)
π https://github.com/oneshikaa/scheme-research-tool
Tech: Python, Streamlit, FAISS, LangChain, OpenAI APIs
- Built an end-to-end RAG system over government policy documents
- Implemented semantic search using FAISS vector database
- Designed automated data ingestion with BeautifulSoup + embeddings
- Orchestrated multi-step reasoning using LangChain
π https://github.com/oneshikaa/Hand_Written_Text_Recognition
- Built a complete ML pipeline for digit classification
- Achieved 98.2% accuracy
- Focused on preprocessing, feature engineering, and evaluation
π https://github.com/oneshikaa/ML_Project_SEM5
- NLP-based text classification across multiple news categories
- Used feature extraction + ML models
- Achieved ~98% accuracy
Languages & Data
- Python β’ SQL β’ C++
ML & AI
- PyTorch β’ TensorFlow β’ Scikit-learn β’ Pandas β’ NumPy β’ Transformers (BERT)
GenAI & NLP
- OpenAI APIs β’ LangChain β’ FAISS β’ RAG β’ Embeddings
Cloud & Analytics
- Google Cloud (BigQuery)
- Contributing to open-source ML/MLOps tools
- Building small AI products for real-world use cases
- Strengthening skills in:
- Experiment tracking
- Model deployment
- Production ML workflows
π LinkedIn: https://www.linkedin.com/in/vanshikaa-jindal
π GitHub: https://github.com/oneshikaa
π‘ LeetCode: https://leetcode.com/u/vanshikaa
Open to collaboration on ML, NLP, CV, and GenAI projects!

