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AI Research Engineer with 4+ years in Generative AI & LLMs
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Assessing your cultural and operational fit
My work focuses on building practical and research-driven solutions in the field of Generative AI and LLMs. I have developed Multi-Agent Pipelines and Bias Detection Systems, which address one of the most critical challenges in the LLMs—Fairness and Reliability.
SRM Institute of Science and Technology
B.Tech · Computer Science and Engineering – AI/ML Specialization
June 1, 2022 – June 1, 2026
DRDO DYSL-AI Lab
AI Research Intern
January 1, 2026 – Present
Bengaluru, Karnataka, India
SRM Institute of Science and Technology
B.Tech in Computer Science and Engineering – AI/ML Specialization
June 1, 2022 – Present
Gūduvāncheri, Tamil Nadu, India
Memory AI – Persistent RAG Assistant
June 24, 2026 – Present
• Built AI chatbot with persistent memory using embedding-based retrieval across the chat sessions • Deployed full-stack application (React 18 + FastAPI) on GCP with Firestore for context storage; enabled multi-turn dialogues via cosine similarity search
View ProjectMulti-Agent Bias Audit Pipeline
June 24, 2026 – Present
• Built a system detecting and fixing biased language across 4 demographic categories using 4-agent chain (Generator → Auditor → Refiner → Verifier) on Ollama • Translated IEEE (2024) research on Multi-Agent Bias Mitigation via Self-Correction Frameworks into a production pipeline
View ProjectCoral Reef Classification using ResNeSt+CSA
June 24, 2026 – Present
• Built a deep learning model for automated coral health classification from underwater imagery using ResNeSt-50 with a novel Cross-Spatial Attention (CSA) module • Achieved 92.4% accuracy (92.0% precision, 91.7% recall) on 7,384 images; outperformed ResNet-50 (87.2%) and ResNeXt-50 (89.1%); ablation study validated CSA contribution • Deployed Flask web application for real-time inference; paper accepted at ICCBI 2026 International Conference
Engineer AI Agents with ADK (Intermediate)
Google Cloud / DeepMind
June 1, 2026 – Present
Train a Small Language Model (Advanced)
Google Cloud / DeepMind
June 1, 2026 – Present
Intro to Generative AI
Google Cloud / DeepMind
June 1, 2026 – Present
Machine Learning Foundations
AWS Academy
June 1, 2026 – Present
Cloud Operations
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong alignment with the target role of an AI Research Engineer, focusing on cutting-edge Generative AI, LLMs, and multi-agent systems. The diversity of projects, from bias audit pipelines to coral reef classification and persistent RAG assistants, indicates a broad interest and adaptability in applying AI/ML solutions to various domains. Their involvement in an AI Research Intern role at DRDO DYSL-AI Lab further solidifies their fit for a research-oriented environment. The certifications from Google Cloud/DeepMind and AWS Academy demonstrate a proactive approach to continuous learning and skill development, which is a positive indicator for cultural fit in a fast-evolving field.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in optimizing data curation and improving data quality. Their ability to work on complex, multi-agent systems and deploy full-stack applications suggests a proactive and results-oriented approach. The academic project leading to a conference paper indicates a commitment to rigorous research and documentation. While direct evidence of teamwork or stress handling is not explicitly provided, the scope of their projects implies good organizational and execution capabilities.