About monish
AI Engineer | Agentic AI & GenAI Specialist | Semantic RAG | MCP | LLMs & VLMs Software Engineer with overall 4 years of hands-on experience building and optimizing production-grade GenAI and deep learning systems, with strong expertise in Agentic AI architectures, Semantic RAG pipelines, and multi-agent communication using MCP and agentic protocols. Currently, I work with a leading fintech organization in India, where I design and deploy scalable Agentic AI systems for real-world financial use cases. My work focuses on: 1. Developing robust Semantic RAG frameworks 2. Building multi-agent orchestration systems 3. Implementing agent-to-agent communication via MCP 4. Optimizing LLM & VLM performance for enterprise deployment I bring a strong background in model fine-tuning, evaluation, and optimization, and have consistently delivered improvements in latency, efficiency, and system reliability for large-scale AI applications Core Expertise: Agentic AI & GenAI: Multi-Agent Systems, MCP, Agentic Protocols, Semantic RAG Models: LLMs, VLMs, Transformers Frameworks: PyTorch, Hugging Face, ONNX Runtime Optimization: Fine-Tuning, Quantization, Pruning Data & Tools: NumPy, Pandas, Matplotlib Programming: Python I thrive in fast-paced, high-impact environments where cutting-edge AI meets real-world production challenges. I am deeply motivated by building intelligent, autonomous AI systems that create measurable business value—especially in fintech and enterprise AI applications. Open to collaborating on: Agentic AI, GenAI systems, RAG architectures, and scalable LLM solutions. Let’s connect to build the next generation of intelligent AI systems.
Key Skills
Experience
Software Engineer (genai & Agentic Systems)
CurrentAurum Data Solutions Inc.
* Developed Agentic AI solutions for fintech clients, utilizing MCP and structured agent-to-agent communication frameworks. * Designed and implemented robust semantic RAG pipelines with advanced chunking strategies and optimized retriever mechanisms. * Built scalable FastAPI services integrating LLM components, agent workflows, and retrieval architectures.
Ai Consultant
Zentree Labs
AI Consultant (Client) - Qualcomm Inc. 1. Served as an AI Consultant specializing in Large Language Model (LLM) optimization, benchmarking, and deployment on Qualcomm Cloud AI 100 hardware. 2. Focused on efficiency improvements, automation, and performance scaling for LLMs such as LLaMA 3.3, GPT-3, Mixtral MoE, and Qwen2.5, along with embedding models (Jina, E5) and vision-language models (LLaVA, LLaMA 4 Scout). 3. Worked extensively with ONNX Runtime, PyTorch, VLLM, Hugging Face Transformers, and advanced model optimization techniques.
Engineer
Zentree Labs
Analyzed advanced optimization techniques such as quantization and pruning, focusing on enhancing the efficiency and effectiveness of machine learning algorithms. Examined the architecture of a wide range of models, including classifiers, detectors, and image segmentation models, to understand their computational requirements and performance characteristics.
Education
Truba Institute Of Pharmacy, Karod - Gandhi Nagar By Pass Road Bhopal 462038
Bachelor Of Engineering
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor Of Engineering
Vatsalya Senior Secondry School, Vidisha, Madhya Pradesh - 464001
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Common Questions
What is monish's expertise?
monish specializes in RAG Engineer, with expertise in agentic ai, crewai, fastapi, gated recurrent units, generative adversarial networks.
Where is monish located?
monish is based in hyderābād, telangana, india.
How much experience does monish have?
monish has 4+ years of professional experience.
How can I contact monish?
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