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Niveditha ChatraNC
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Niveditha Chatra

@nivedithachatra

M.Tech AI engineer building scalable NLP, CV and generative AI solutions.

India
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What I'm looking for

I seek roles building production-ready AI systems (NLP/CV/Generative) with emphasis on scalable deployment, reproducibility, and research-driven model improvements.

I am an M.Tech Computer Science graduate specializing in Artificial Intelligence and Generative AI, with hands-on experience building and deploying models across NLP, computer vision and ML pipelines.

I have developed production-oriented systems including LLM-powered document assistants and report analyzers, implementing retrieval-augmented generation (RAG) and grounding techniques to reduce hallucinations.

My research on a Landmark-Guided CycleGAN was accepted to IEEE INSPIRE 2025, where I presented findings on improving sketch-to-photo reconstruction quality using perceptual and optimization-based losses.

Experience

Work history, roles, and key accomplishments

CoReason India LLP logoCL

Software Engineer

CoReason India LLP

May 2026 - Aug 2026 (3 months)

• Worked as Software Engineer workflows involving RAG, ETL-pipelines, hertzner server deployments, LLM applications, MCPbased tool integration, and agentic systems.
• Developed hands-on knowledge of LangChain, LangGraph, langfuse, DeepAgents, OpenClaw, multi-agent orchestration, toolcalling, and stateful agent workflows.

Education

Degrees, certifications, and relevant coursework

NN

Nitte Mahalinga Adyanthaya Memorial Institute of Technology (NMAMIT)

Master of Technology, Computer Science

2023 - 2025

Grade: 9.3 / 10.0

Activities and societies: Research on GANs; IEEE INSPIRE 2025 presenter; internships and cloud/ML deployment projects.

Master of Technology in Computer Science with a GPA of 9.3/10.0, focused on AI and generative models.

SS

Srinivasa Institute of Technology (SIT)

Bachelor of Engineering, Computer Science

2019 - 2023

Grade: 7.8 / 10.0

Activities and societies: Student mentoring and participation in technical and cultural activities.

Bachelor of Engineering in Computer Science with a GPA of 7.8/10.0, covering core CS and AI fundamentals.

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