AI Research Engineer with 4+ years in Generative AI & LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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
Multi-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
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 ProjectEngineer 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
Cloud Operations
AWS Academy
June 1, 2026 – Present
Intro to Generative AI
Google Cloud / DeepMind
June 1, 2026 – Present
Machine Learning Foundations
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.