Swaraj Mali
@swarajmali1
I build AI-powered systems in NLP, RAG, and computer vision—turning documents and data into actionable insights.
What I'm looking for
I’m a B.Tech Computer Science student who loves building end-to-end AI products—especially where NLP, retrieval (RAG), and computer vision meet real-world workflows. In Deloitte’s Capstone 2025, I helped build an AI-powered audit platform and we were shortlisted in the top 30 out of 200+ teams.
I apply modern LLM pipelines to automate messy information: I leveraged LLaMA 3 with RAG, OCR, ChromaDB, and Redis to analyze financial documents, flag inconsistencies, and generate audit-compliant reports in real time. I’m equally comfortable bridging AI with practical engineering—integrating APIs and designing robust pipelines that actually work.
Recently, in my AI/3D internship experience, I built an interactive AI avatar system with Azure Cognitive Services for real-time Speech-to-Text, Text-to-Speech, and viseme-driven lip-syncing. I also contributed computer vision work—training deep learning models (FCN, DeepLabV3), using YOLO, and creating a similarity-search pipeline with custom feature extractors (Gabor, FFT).
Experience
Work history, roles, and key accomplishments
AI/3D Intern
Streamoji
Oct 2025 - Dec 2025 (2 months)
Integrated Azure Cognitive Services to build an interactive AI avatar with real-time Speech-to-Text, Text-to-Speech, and viseme-driven lip-syncing. Trained deep learning models for face semantic segmentation and built a computer-vision pipeline (YOLO + feature extractors) to power vector-based similarity search for matching facial features and hairstyles.
Capstone Program Participant
Deloitte
Apr 2025 - Jul 2025 (3 months)
Built an end-to-end AI-powered audit platform for Deloitte Capstone 2025, shortlisted in the top 30 out of 200+ teams. Used LLMs with RAG plus OCR and vector search to automate financial document analysis, flag inconsistencies, and generate audit-compliant reports in real time.
Education
Degrees, certifications, and relevant coursework
Manipal University, Jaipur
Bachelor of Technology in Computer Science and Engineering, Computer Science and Engineering
2022 - 2026
Grade: CGPA: 8.80
Bachelor of Technology in Computer Science and Engineering at Manipal University, Jaipur (2022–2026), achieving CGPA 8.80.
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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