Jithin James

Technical Lead | AI/ML Engineer | Scrum Master

Specializing in Contract Digitization, Generative AI, and Enterprise Solutions

Leading innovative AI/ML projects at Cisco, with expertise in LLMs, document analysis, and API integrations. Passionate about leveraging cutting-edge technology to solve complex business challenges.

fast.ai fellow


Experience

Cisco

Technical Lead | Scrum Master - Contract Digitization Platform

Leading the Contract Digitization Platform team, focusing on enterprise contract management solutions. Started as a Software Developer and progressed to Team Lead and Scrum Master roles.

  • AI/ML Leadership: Spearheading Generative AI projects including clause/term summarization, question-answering chatbots, and contract strength analysis systems
  • Integration Development: Architected and implemented DocuSign API integrations and contract workflow automation solutions
  • Technical Excellence: Delivered application performance improvements, security vulnerability fixes, and scalable backend solutions using Python
  • Team Leadership: Managing cross-functional development teams, facilitating agile ceremonies, and driving technical decision-making
  • Platform Innovation: Designed end-to-end contract digitization workflows, improving contract processing efficiency by implementing ML-driven document analysis
April 2019 - Present

OVH Group

MTS II

Worked on Hubic backend. Involved in debugging issues, creating support tool interface and workflows. See here: cds-split-upload and cds-split-download

May 2017 - July 2018

VMware Software India Pvt. Ltd.

MTS I

Worked on vCloud Hybrid Services (vCloud Air - vCA) Engineering team. Handled scripts to automate workflow for performing the Disaster Recovery migration operations, debug and root-cause various issues.

August 2016 - May 2017

VMware Software India Pvt. Ltd.

Intern

Involved in verifying and validating various builds of VMware products. Also deployed a Mesos-Marathon cluster on vCA cloud for running Docker applications.

August 2015 - July 2016

Intern

Part of an intensive 6 week part-time mobile/internet technology start-up accelerator and software development workshop sponsored by the Massachusetts Institute of Technology (MIT) and Google. Was able to learn entrepreneurship skills and software development skills for mobile and web platform based start ups. The course was instructed by alumni and student/instructors from MIT's business and engineering schools.

June 2013 - July 2013

Education

VIT University Vellore

Master of Technology
Information Technology - Networking Specialization
August 2014 - May 2016

Government Engineering College Thrissur

Bachelor of Technology
Computer Science & Engineering
August 2010 - May 2014

Carmel Central School Valapad

All India Senior School Certificate Examination
Computer Science
June 2008 - March 2010

Skills

Programming Languages & Frameworks
AI/ML & Data Science
  • Generative AI (LLMs, NLP, Document Analysis)
  • Machine Learning (Scikit-learn, TensorFlow, PyTorch)
  • Data Science (Pandas, NumPy, Jupyter)
  • Computer Vision (OpenCV, fastai)
Cloud & DevOps
Enterprise Integrations & APIs
  • DocuSign API & E-signature Solutions
  • REST API Development & Integration
  • Database Design & Optimization
  • Security & Vulnerability Assessment
Leadership & Project Management
  • Agile/Scrum Master Certified
  • Cross-functional Team Leadership
  • Technical Architecture & Decision Making

Interests

Apart from being a developer, I enjoy most of my time being outdoors. I love gardening.

I follow a number of drama, crime, thriller, sci-fi and comedy genre movies and TV shows, I love backpacking, I like to read books and I spend a large amount of my free time exploring the latest advancements in the field of AI.


Awards & Certifications

  • Certified Scrum Master (CSM) - Scrum Alliance - 2022
  • AI/ML Leadership Excellence - Cisco Technical Achievement Award - 2023
  • fast.ai Fellow - Deep Learning for Coders - 2019
  • Machine Learning - Andrew Ng - Coursera - July 2018
  • Introduction to Data Science in Python - Coursera - February 2017
  • Developing Innovative Ideas for New Companies: The First Step in Entrepreneurship - Coursera - January 2014

Projects

eBPF MCP Server for Container Monitoring

Cisco Anthropic MCP Hackathon

Developed an innovative MCP (Model Context Protocol) server leveraging eBPF technology for real-time container monitoring and observability in cloud-native environments.

  • eBPF Integration: Built kernel-level monitoring using eBPF programs to capture container metrics, network traffic, and system calls with minimal overhead
  • MCP Protocol: Implemented Anthropic's Model Context Protocol to enable AI assistants to query and analyze container performance data in real-time
  • Real-time Observability: Created comprehensive monitoring dashboard for container resource usage, network flows, and security events
  • AI-Powered Insights: Enabled natural language queries about container health, performance bottlenecks, and security anomalies through MCP interface
  • Technology Stack: eBPF, Python, MCP Protocol, Docker, Kubernetes, Linux Kernel programming, Go
2024

AI-Powered Contract Analysis Platform

Cisco - Contract Digitization Team

Leading the development of an enterprise-grade AI platform for automated contract analysis and processing using cutting-edge generative AI technologies.

  • Generative AI Integration: Implemented LLM-based clause summarization and contract term extraction using OpenAI API (Azure) and LangChain framework
  • Smart Q&A System: Built an intelligent chatbot for contract queries using RAG architecture with Hugging Face Transformers for document embeddings
  • Backend Architecture: Developed scalable Flask-based REST APIs with MongoDB for document storage and Redis for caching and session management
  • Async Processing: Implemented background task processing using Celery and RQ for handling large document analysis workloads
  • Technology Stack: Flask, MongoDB, Redis, OpenAI API (Azure), LangChain, Hugging Face Transformers, Celery, RQ, Docker, OCP
2023 - Present

DocuSign Enterprise Integration Platform

Cisco - Contract Digitization Team

Architected and implemented comprehensive DocuSign API integration for enterprise contract workflows with robust authentication and deployment pipelines.

  • API Integration: Built seamless DocuSign REST API integration using Python Requests library with comprehensive error handling and retry logic
  • Authentication & Security: Implemented OAuth 2.0 flow for secure API access with token management and refresh mechanisms
  • Data Management: Designed MongoDB schemas for contract metadata storage with Redis-based caching for improved performance
  • DevOps Pipeline: Established CI/CD pipelines using Spinnaker and Jenkins with Docker containerization and OCP (OpenShift) deployment
  • Technology Stack: Flask, DocuSign REST API, OAuth 2.0, Requests, MongoDB, Redis, Docker, OCP, Spinnaker, Jenkins
2021 - 2023

Graphico

Government Engineering College Thrissur

A research tool for mass participation survey, using the Twitter API, which helps scientists and researchers to find correlations between any factors they wish to research on. Worked on developing the application both on server as well as client side. Acquired skills needed for working with REST API’s and OAuth mechanism.

March 2014

Publications

RSJ Approach for User Authentication

Some of the common works like, upload and retrieval of data, buying and selling things, earning and donating or transaction of money etc., are the most common works performed in daily life through internet. For every user who is accessing the internet regularly, their highest priority is to make sure that there data is secured. But the intention of malicious users is to access and misuse others data. For providing security against threats, here we are proposing a novel RSJ Approach by User Authentication. RSJ approach is a secure way for providing the security to the user form both bots and malicious users.

CAESAR CLOUD: A Comprehensive Approach for Enhancing Cloud Security and Service Availability based on Reputation

Recent years have seen a surge in the arena of computing, especially in the field of cloud computing. Many more companies like Amazon, Citrix, Salesforce, Verizon are now extending their reach by providing various services like cloud hosting, cloud backups, file sharing, application and software services. Apart from this surge in cloud usage, it has now become impaired with the issues relating to performance, security, and storage. Among this, security is a major concern both for the cloud user (CU) as well as the cloud service provider (CSP). This paper focuses on the subtle issue in security, the Distributed Denial of Service (DDoS) attack.