π Final-year B.Tech student at VIT Pune, passionate about building intelligent, scalable, and real-world AI systems.
- Applied Machine Learning | Deep Learning | Generative AI (LLMs) | Data Engineering
- Hands-on with building end-to-end ML pipelines, LLM-based systems, and production-ready backend services
- π§ ML/NLP Systems β Multilingual understanding, Named Entity Recognition (NER), Summarization, Knowledge Graph Generation
- π οΈ Backend Development β Production-grade systems including FastAPI, Flask, Docker, and PostgreSQL
- π Data Engineering β Real-time ETL pipelines using Airflow, Pandas, SQL, and ClickHouse
- ποΈ Speech & LLMs β Leveraging ASR and transformers for real-time speech-to-text, translation, and legal document automation
- π Published in Springer Nature and IEEE
- π Topics: Multilingual NLP, YouTube Video Summarization, Legal Tech Automation using AI
"Iβm passionate about crafting AI-driven systems that create tangible impact β from streamlining workflows to enabling smarter, data-driven decisions."
π§ AI & Machine Learning
- Frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers
- Techniques: LLMs, NER, RAG, CNNs, RNNs, ASR, Cross-lingual Summarization
- Toolkits: spaCy, OpenCV, NLTK, Librosa
π Data Engineering
- Pipelines: Apache Airflow, Pandas, SQL, Kafka (intro), ETL/ELT Architecture
- Databases: PostgreSQL, AmazonS3, Redshift, BigQuery, DuckDB, MongoDB, MySQL, ClickHouse, Neo4j, OrientDB
π οΈ Backend & DevOps
- Frameworks: FastAPI, Flask, Node.js
- Deployment: Docker, GitHub Actions, AWS (EC2, S3), GCP, Azure, Nginx, Kubernetes (intro)
π Frontend Development
- Tech: React.js, Next.js, Flutter, HTML/CSS, TailwindCSS
- UI/UX Tools: Figma, Canva
π§° Developer Tools
- Version Control & IDEs: Git, GitHub, GitLab, VS Code
- Others: Postman, Jupyter Notebooks, Google Colab, Notion, Linux Shell
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π Information Retrieval & NLP
Semantic search, transformers, embeddings, and text summarization for real-world use cases -
βοΈ Legal Tech & Accessible AI
Democratizing justice with LLMs, NER pipelines, and multilingual legal document processing -
π Data Engineering & Systems Design
Scalable ETL pipelines, real-time data streaming, and analytics-driven system architecture -
π Multilingual AI & Generative Applications
Speech-to-text, translation, cross-lingual summarization, and zero-shot learning using LLMs -
π§ LLM Fine-tuning & Retrieval-Augmented Generation (RAG)
Building smart Q/A systems and task-specific copilots using LangChain, FAISS, and custom prompts -
π§© Graph Databases & Knowledge Graphs
Neo4j, OrientDB, entity linking, and relationship extraction for graph-based reasoning -
ποΈ Speech & Audio Intelligence
ASR, voice-based interfaces, audio pre-processing, and multilingual speech conversion -
π§ͺ Model Deployment & MLOps
CI/CD for ML, Docker-based deployments, model monitoring, and FastAPI microservices -
π Ethical AI & Responsible Tech
Focused on fairness, accessibility, explainability, and real-world impact of AI systems
