About nishanth
Iām a results-driven Generative AI Engineer with a proven track record in building advanced RAG systems and Agentic architectures, I deliver scalable, ethically grounded AI solutions that elevate innovation and business impact. šš¤š¢š„š„š¬ šš®š¦š¦šš«š²: Languages: Python Frameworks: Transformers, NLTK, FastAPI, TensorFlow, Langchain, Llamaindex, Trl, Diffusers Databases: Chroma, Pinecone, Neo4j Agentic Frameworks: Langgraph, CrewAI, AutoGen, Pydantic AI Responsible AI: Guardrails AI, LLM Guard Soft Skills: Leadership, Event Management, Problem Solving, Public Speaking, Time Management ššØš«š ššØš¦š©šššš§šš¢šš¬: Building and Evaluating Advanced RAG Applications Finetuning LLMs and Embeddings with custom data Aligning LLM Outputs with Human Preferences using RLHF Building Complex MultiAgent Architectures with long term memory Advanced Prompt Engineering
Key Skills
Experience
Generative Ai Engineer
CurrentTenarai
Ai Engineer
South Guild Tech
* Architected intelligent B2B search systems with multi-agent orchestration, achieving 85% result relevance across 30+ sources and reducing zero-result queries by 66% * Fine-tuned LLM for AI tutor platform with RAG implementation, achieving 0.88 MRR score while reducing hallucination rates by 20% and improving contextual accuracy by 35% * Developed parallel search strategies with adaptive retry logic across 5 iterations, improving search accuracy by 42% * Integrated AI safety guardrails and evaluation frameworks to ensure reliable, contextually appropriate responses in educational applications * Built real-time workflow visualization and validation pipelines to process 100+ results and deliver top 20 recommendations with risk assessment
Ai Engineer
Cubeaisolutions Tech Pvt Ltd
* Automated support ticket workflows with multi-agent system, processing 10,000 daily tickets and reducing manual effort by 35% * Built NLP analytics system generating 20 * visual insights, improving data processing speed by 40% and boosting customer satisfaction by 20% * Built ETL pipeline integrating biomedical databases with parallel execution, achieving 300% faster data acquisition for drug target discovery research * Designed knowledge graph with 25 * relationship types connecting 2000 * biological pathways for gastric cancer research * Developed data validation framework to transform complex hierarchical pathway relationships from 5 * biomedical APIs
Education
Amrita Vishwa Vidyapeetham, Coimbatore
Master Of Science
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Common Questions
What is nishanth's expertise?
nishanth specializes in Generative AI Engineer, with expertise in agentic ai, amazon web services, artificial intelligence, computer vision, convolutional neural networks.
Where is nishanth located?
nishanth is based in bangalore, karnataka, india.
How much experience does nishanth have?
nishanth has 2+ years of professional experience.
How can I contact nishanth?
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