AI Engineer with less than a year in Generative AI, Machine Learning, and scalable infrastructure.
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Assessing your cultural and operational fit
AI Data Science Intern with hands-on experience in architecting end-to-end Generative AI pipelines for multimodal ad creation, fine-tuning models for high-fidelity video ads, and designing efficient model adaptation pipelines. Proven ability to engineer scalable infrastructure using cloud platforms, databases, and containerization technologies. Active in open source contributions and recognized for research in legal AI and medical image diagnosis.
National Institute of Technology Karnataka
Bachelor of Technology · Artificial Intelligence
August 1, 2022 – June 30, 2026
Publicis Sapient
AI Data Science Intern
May 1, 2025 – July 1, 2025
Bengaluru, Karnataka, India
LaMAS Deep Research Tool
January 1, 2026 – April 1, 2026
Built a Multi-Agent System for cross-source claim verification by aggregating YouTube videos and Reddit posts indexed through a RAG Agent. A feedback loop that re-invokes the Search agent when retrieval similarity <0.35 or faithfulness <60%, improving evidence coverage and detection of contested/sponsored content. Evaluated via LLM-as-a-Judge: achieved 84% faithfulness, 92% relevance, 80% contradiction handling, outperforming most free-tier deep research models on relevance and contradiction handling.
View ProjectLedgiMed
December 1, 2025 – June 1, 2026
Secure, organization-based digital ledger SaaS application for hospitals to manage inventory, equipment, surgeries, and contracts with role-based access control. Built-in Agentic workflows and Alexa integration to automate processes, with AI insights from hospital data, improving decision-making and operational efficiency by 30-40%. Deployed a production-grade system, currently used by 2+ hospitals, featuring robust authentication, database security, and scalable API design.
Legal Summarizer & QnA
January 1, 2025 – April 1, 2025
Fine-tuned LED transformers with LoRA and RL-based entailment-aware reward optimization, reducing hallucinations and significantly improving factual consistency in legal document summarization. Developed a RAG-based legal QA system utilizing Pinecone and Llama3-70B (Groq) over 300+ Indian legal cases (1,897 QA pairs), designing a semantic caching pipeline that optimized retrieval latency by 60%.
View ProjectModel Context Protocol (MCP)
Anthropic Certification course
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare SaaS to deep research tools and legal AI, indicates a broad interest and adaptability. Their experience with multi-agent systems, RAG, and generative AI aligns well with an AI Engineer role. The open-source contributions and hackathon participation suggest a proactive, learning-oriented individual who can contribute positively to a dynamic team environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and problem-solving skills through their diverse project portfolio, including deploying a production-grade system and optimizing retrieval latency. Their involvement in hackathons and open-source contributions suggests a collaborative and adaptable work attitude. The detailed descriptions of their projects and internship indicate good communication skills in conveying complex technical concepts and outcomes.