Abhishek Kumar — Software Engineer

Passionate Java and Python Software Architect with expertise in AWS Cloud and Generative AI , backed by an M.Tech in AI/ML from IISC (Indian Institute of Science) and diploma is DSBA(Data Science and Business Analytics) from IIMB(Indian Institute of Management, Bangalore) Extensive experience designing and implementing robust software solutions using Java and Python, with a keen eye for scalability, performance, and security. Proficient in architecting cloud-native applications on AWS, leveraging services like RDS, ECS,EC2, S3, Lambda, DynamoDB, and more to build resilient and scalable systems Dedicated to staying at the forefront of technology trends, continuously learning and implementing emerging techniques and best practices in AI/ML and cloud computing. Currently spearheading multiple cutting-edge Generative AI projects: Device Health Metric Forecasting and Diagnostics: Developing innovative solutions for forecasting and diagnosing device health metrics using RAG (Langchain) models, enhancing predictive maintenance capabilities and optimizing operational efficiency. Information Retrieval-based Knowledge Base: Designing and implementing an advanced knowledge base powered by information retrieval techniques, enabling efficient storage, organization, and retrieval of vast amounts of data to facilitate informed decision-making. AI Assistant for Semantic Search of Bugs: Leading the development of an AI assistant tailored for semantic search of bugs, leveraging natural language processing and machine learning to enhance bug resolution workflows and streamline software development processes.

Stackforce AI infers this person is a SaaS-focused Software Architect with strong expertise in AI/ML and cloud technologies.

Location: Bengaluru, Karnataka, India

Experience: 17 yrs 8 mos

Skills

Aws Cloud
Ai/ml
Data Analysis
Cloud Security

Career Highlights

Expertise in AWS Cloud and Generative AI.
Led multiple innovative AI projects enhancing operational efficiency.
Strong background in software architecture and design.

Work Experience

Cisco

Software Engineer IV (5 yrs 11 mos)

Software Engineer III (7 yrs 10 mos)

Honeywell Technology Solutions, Inc.

Senior Engineer (3 yrs 10 mos)

Education

Master of Technology - MTech at Indian Institute of Science (IISc)

Business Analytics & Intelligence at Indian Institute of Management Bangalore

Master of Science (MS) at Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (BE) at Manipal Institute of Technology

at Science College

Diploma of Education at Indian Institute of Management Bangalore

at Patna Central School

Abhishek Kumar

Software Engineer

Bengaluru, Karnataka, India17 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expertise in AWS Cloud and Generative AI.
Led multiple innovative AI projects enhancing operational efficiency.
Strong background in software architecture and design.

Stackforce AI infers this person is a SaaS-focused Software Architect with strong expertise in AI/ML and cloud technologies.

Contact

Skills

Core Skills

Aws CloudAi/mlData AnalysisCloud Security

Other Skills

AWS SageMakerAmazon Web Services (AWS)Android DevelopmentCSSCSS3Cisco Firewall SecurityCisco VPNCloud Infrastructure DesignCloud Security ArchitectureCollaborative filteringComputer VisionData EngineeringDatabase MigrationDeep LearningEJB

About

Experience

Cisco

2 roles

Software Engineer IV

Promoted

Apr 2020 – Present · 5 yrs 11 mos

1. Agentic Workforce Development
Leading the development of the Next Generation Agentic Workforce:
Building intelligent agents that possess robust domain knowledge (using RAGs), autonomously execute tasks (via an MCP server), reason independently (with LangGraph), and self-heal from crashes (using MongoDB-based checkpointing).
Deployment:
Leveraging AWS Cloud and advanced MLOps technologies for scalable, reliable, and automated agent management.
2. AI Assistant for Device Health Diagnostics & Remediation
RAG-Powered Device Health Diagnostics:
Architected an AI assistant that employs Retrieval-Augmented Generation (RAG) models integrated with Prometheus API from FMC, enabling comprehensive device health diagnosis and real-time summarization.
Forecasting-Based Health Monitoring:
Incorporated a forecasting algorithm to set predictive alarms on device health metrics, proactively identifying and alerting on potential threshold breaches.
Intelligent, Context-Aware Recommendations:
Designed collaborative filtering for recommendation generation, enabling the assistant to suggest efficient resolutions based on historical incidents and user preferences.
Conversational Enhancement:
Utilized Large Language Models (LLMs) to create natural, insightful interactions and assist users more effectively.
3. Cloud Transition for Network Security Management
Cloud Infrastructure Design & Management:
Spearheaded the architectural design and implementation of secure, scalable cloud infrastructure tailored to Network Security Management needs.
Database Migration:
Led seamless migration from on-device databases to AWS RDS, optimizing performance, availability, and disaster recovery.
Cloud Security Architecture:
Developed and enforced cloud-first secure design principles and architecture for network security products.
Log Analytics & Predictive Health:
Integrated advanced log analytics and anomaly detection for predictive health insights, driving proactive device management

AWS CloudMLOpsLangGraphMongoDBRAG modelsLarge Language Models (LLMs)+4

Software Engineer III

Jun 2012 – Apr 2020 · 7 yrs 10 mos

I am working on a product called CSM (Cisco Security Manager). Which helps to configure,monitor and deploy the security solutions for Firewalls,VPN and Security Appliances such as ASA.