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Agentic Engineering | GenAI | Multi-Agent Systems | LLMs | Cloud-Native & Distributed Systems | High-Impact, Industry-Leading Roles | MLOps, Safety, Fine-Tuning, Guardrails | mmgehlot.github.io
Experience in architecting, building, and scaling secure AI-powered platforms and distributed microservices in fast-paced, high-impact environments. At Cisco, I lead the development of production-grade GenAI platforms, including: A secure Retrieval-Augmented Generation (RAG) system integrating hybrid retrieval, real-time query expansion, summarization, and robust semantic ranking to defend against adversarial drift. Autonomous LLM pipelines for intelligent retrieval, document understanding, and agentic reasoning, built with privacy-preserving, adversarially robust principles. Scalable, cloud-native deployment frameworks orchestrating AI services with Docker, Kubernetes, and AWS for high availability and rapid iteration. Agent Memory OS: Building a production-grade, open multi-agent memory intelligence system for next-generation AGI and contextual AI. Designed a modular, multi-tier memory architecture enabling AI agents to reason with short-term, long-term, and episodic memory across distributed environments. Developed dynamic, policy-driven orchestration and context fusion, integrating pluggable memory stores (Redis, Postgres, vector DBs) and advanced retrieval (vector, semantic, cross-session). Built a distributed agent workflow engine supporting real-time graph mutation, agent collaboration, consensus, and HITL escalation. Implemented observability, tracing, and governance layers for secure, auditable, and explainable agent memory. Enabled feedback-driven adaptation, embodiment tracking, and self-reflective reasoning for advanced AGI/LLM scenarios. Passionate about fast, iterative development in environments demanding autonomous decision-making, risk-taking, and a strong bias for action to drive innovation from concept to production. Skilled in building full-stack AI infrastructure, including model training, fine-tuning, evaluation, and secure productiza
San José State University
Master of Science (MS), Computer Software Engineering
January 1, 2016 – January 1, 2018
Lachoo Memorial College of Science And Technology, Jodhpur, Rajasthan
Master of Computer Applications (MCA), Computer and Information Sciences, General
January 1, 2008 – January 1, 2011
Jai Narain Vyas University
Bachelor Of Computer Application, Computer and Information Sciences, General
January 1, 2005 – January 1, 2011
Freelance
ZAPP – Real-Time Autonomous Multi-Agent Stock Trading System
December 1, 2025 – February 1, 2026
Cisco
Senior Software Engineer
January 1, 2019 – Present
Milipitas, CA 95035
HanuInnoTech.com | Hanumayamma Innovations and Technologies, Inc.
Software Engineer - Data
October 1, 2018 – January 1, 2019
Fremont, CA
San Jose State University
Project Assistant
July 1, 2018 – September 1, 2018
San Jose, California
San Jose State University
Graduate Teaching Assistant
February 1, 2018 – May 1, 2018
San Jose
HanuInnoTech.com | Hanumayamma Innovations and Technologies, Inc.
Software Engineer Intern
February 1, 2018 – May 1, 2018
Fremont, California
San Jose State University
IT Support Engineer
July 1, 2017 – March 1, 2018
San Jose
Kognito Institute of Computer Science
Founder(CEO)
July 1, 2011 – December 1, 2015
Jodhpur Area, India
Intent based Chatbot
February 1, 2018 – March 1, 2018
Designed and implemented AI based chatbot using seq2seq algorithm utlizing LSTM neural network to answer healthcare questions.
Http Web Server
June 1, 2017 – July 1, 2017
• Designed and developed multi-tenant architecture of Http Web Server • Implemented following functionalities (web server management console for administration, handle services such as web server context, start, stop, deploy, un-deploy, upload, port configuration, path configuration, static resource serving. role based authentication. • Implemented security, created virtual directory and mapped it to physical directory using xml based configuration. • Implemented following design pattern (singleton, chain-of-responsibilities, command, state, proxy, factory)
Finnalyst - Real time stock price prediction using sentiment analysis
March 1, 2017 – May 1, 2017
• A cloud-based stock market real time streaming web application, predicting mood of stock market by performing sentiment analysis on data from various sources like news, blog and social media. • Used and implemented Naïve bayes machine learning algorithm to calculate sentiment score using NLTK library. • Designed and implemented scalable asynchronous http web server using tornado web framework. • Developed and implemented kafka consumer and producer client using pykafka. • Implemented real time stream pipeline from twitter to kafka to spark to cassandra. Technology Stack : Apache Spark, Kafka, NLTK, Google Finance API, Cassandra, Tornado, Python, AWS
Job Portal
September 1, 2016 – Present
• Designed and implemented job seeker’s modules to perform various functions like job search, apply and history. • Implemented routing and messaging system using Apache Camel. • Integrated and established Dice job services utilizing Dice API. Technology Stack : Java, HTML, CSS, JavaScript, Bootstrap, Maven, Apache Camel, Karaf, JAX-RS, AWS
Mobile Sensor Infrastructure Cloud
September 1, 2016 – November 1, 2016
• IaaS based cloud application providing on-demand virtual sensor, computing resources and services using REST. • Designed and implemented dynamic mapping of virtual sensor to physical sensor. • Developed sensor core data services modules (sensor connectivity, virtual sensor templating, sensor mapping). Technology Stack : NodeJS, ExpressJS, AngularJS, HTML, CSS, Socket.io, MongoDB, AWS
Open Stack - Customized Dashboard
September 1, 2016 – November 1, 2016
• Implemented CRUD module utilizing Java, mysql. • Implemented REST API and route controller to fetch Nova and Neutron component services using OpenStack4J API. Technology Stack : Java, HTML, CSS, JavaScript, Socket.io, MySql, Jetty, Open-Stack, JAX-RS, OpenStack4J API
NetAucs (Online Auction Management)
February 1, 2011 – June 1, 2011
Completed industrial project using J2EE(JSP and Servlet), MySql, HTML and CSS, Tomcat Apache 6
Data Science @Cisco Generative AI Blue Belt 2024
Cisco
June 24, 2026 – Present
How Transformer LLMs Work
DeepLearning.AI
June 24, 2026 – Present
Building Applications with Vector Databases
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from real-time stock prediction to chatbots and cloud infrastructure, indicates a broad interest in technology and a willingness to explore different domains. Their experience in both academic and industry settings, including a founder role, suggests an entrepreneurial spirit and adaptability. While the target role is 'Data Analyst', the candidate's experience leans heavily towards Data Engineering, Machine Learning Engineering, and GenAI, which might be an overqualification or a slight mismatch for a pure analyst role, but indicates a strong technical foundation. The certifications in Generative AI and Vector Databases align with current industry trends.
Soft Skills & Operational Fit
The candidate's experience as a founder and teaching assistant suggests leadership, mentorship, and communication skills. Their project descriptions indicate a proactive approach to problem-solving and system design. The role at Cisco as a Senior Software Engineer leading GenAI projects demonstrates strong operational fit for advanced technical roles.