Puneet Gupta

Senior Software Engineer

Delhi, India4 yrs 6 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in AI frameworks and enterprise-scale applications.
  • Reduced regression log review time by 60% with innovative solutions.
  • Filed multiple patents in AI and machine learning technologies.
Stackforce AI infers this person is a SaaS expert with a strong focus on AI-driven solutions and backend engineering.

Contact

Skills

Core Skills

Ai AgentsBackend Engineering

Other Skills

AIAI InnovationsAWSAWS LambdaAgentic AIAmazon EC2Amazon Web Services (AWS)CC++Cloud SecurityData structure and AlgorithmDeep LearningDesign PatternsDevOpsDjango

About

Hey there! πŸ‘‹ I’m a software engineer and AI Agent expert with deep hands-on experience in Transformers, LLMs, MCPs, A2A, and Agentic AI frameworks. I specialize in building enterprise-scale applications and intelligent automation systems that deliver measurable impact. I thrive in Python, Go, and cloud-native environments (AWS, GCP), with strong expertise in Kubernetes orchestration (Docker, Helm) and observability/governance tools (Grafana, Loki, Mimir, Tempo, OPA, Terraform). πŸ”‘ AI/ML Expertise 1. LLMs & Transformers – Prompting, fine-tuning, domain adaptation. 2. Agentic AI, MCPs & A2A – Multi-agent workflows and cross-platform integrations. 3. ADK, Langraph, LangChain, VertexAI, HuggingFace – Rapid prototyping & deployment. 4. Agentic RAG, Knowledge Graphs, Reranking – Contextual search, retrieval, reasoning. 5. Backend Engineering – Scalable APIs with FastAPI, Django, Go Chi. πŸš€ AI Innovations & Core Work 1. GenAI Agentic Pytest Framework – Automated test code generation (75% beta accuracy, cut cycle by 60%). 2. LogWatch Agent – A connector-driven AI log analysis tool combining clustering and LLM summarization. Adopted across Palo Alto Networks NetSec teams, enabling complex workflows and reducing regression log review time by 60%. 3. RAG-as-a-Service – Serving 12 teams / 500+ users with RBAC backend, MCP/API connectors, synonym expansion, reranking, knowledge graph support, and multi-model embedding selection. 4. AI Copilot – Automated knowledge management, streamlining QA workflows. 5. Core Engineering Contributions – Designed and built RBAC service (10k+ req/sec), developed Garuda Operator (telemetry & observability), AutoSRE Operator (event-driven pipelines), and a Cardinality optimization tool that reduced large-tenant costs by 60%. πŸ“‘ Patents Filed 1. LogWatch – AI-powered clustering, summarization & connector-driven workflows. 2. RAG-as-a-Service (SYQR) – Multi-model embeddings & advanced knowledge bases. 3. Graph-based Anomaly Detection – ML + graph structures for rare event detection. 4. CodeTree – Hybrid tree for AI-driven code generation & semantic analysis. 🌟 What I Bring I merge AI expertise (agents, transformers, MCPs, A2A, ADK, fine-tuning, RAG, knowledge graphs, reranking) with software engineering excellence. Known for a problem-solving mindset, collaboration, and execution focus, I thrive across Software Engineering, SRE, DevOps, and Full-Stack Development. #AIExpert #Transformers #MCPs #A2A #ADK #FineTuning #KnowledgeGraphs #Reranking #ProblemSolver #TeamPlayer #Focused #Determined #Committed

Experience

Palo alto networks

2 roles

Senior Staff Software Engineer

Promoted

May 2023 – Present Β· 2 yrs 10 mos Β· Bengaluru, Karnataka, India

  • AI Innovations
  • 1. Architected and currently developing a GenAI-powered Agentic Pytest framework for automated test code generation, achieving 75% accuracy in beta and reducing the test automation cycle by 50%.
  • 2. Introduced the LogWatch Agent, leveraging AI-based clustering and LLM-driven summarization and correlation, cutting regression log analysis time by 80%.
  • 3. Building RAG-as-a-Service for Palo Alto Networks, incorporating knowledge graphs, synonym handling, and advanced reranking techniques.
  • 4. Developed an Observability Agent ecosystem with 10+ agents and integrations across 50+ tools (Loki, Prometheus, GitLab Search, PagerDuty, Jira, etc.), reducing on-call and debugging time by 60%.
  • 5. Created an AI Copilot Agent for automated knowledge management, significantly streamlining QA workflows.
  • Core Development
  • 1. Designed and developed the Garuda Operator, advanced telemetry tools, and cost optimization services for observability.
  • 2. Built an event-driven Kubernetes operator to automate and streamline ETL data workflows.
  • 3. Developed a cardinality optimization tool that reduced costs by 60% while improving performance for large-scale tenants.
  • 4. Designed and deployed a high-performance RBAC service, supporting 10+ teams with throughput of 10K+ requests/second.
  • 5. Integrated ML-driven insights into Grafana, Mimir, and Prometheus, enabling predictive observability.
  • Patents
  • Filed six patents, including LogWatch and the RAG-powered chatbot (SYQR), focused on advanced document ingestion and knowledge base creation.
AI InnovationsGenAIAgentic AILogWatchRAG-as-a-ServiceObservability+6

Staff Software Engineer

Sep 2022 – Apr 2023 Β· 7 mos Β· Bengaluru, Karnataka, India

  • I'm part of the Platform Engineering team working on Garuda (in-house observability solution), UNO (DataCenter Platform), and Devclues (IDP).

Lseg (london stock exchange group)

Software Engineer

Oct 2021 – Aug 2022 Β· 10 mos Β· Bangalore Urban, Karnataka, India

  • As Software Engineer, I worked on two different teams 1. DUG 2. FIRI
  • 1. Designed and developed the firi finance service for the FIRI team to enhance insights.
  • 2. Implemented core infrastructure components and services leveraging technologies like Lambda, Python, Terraform, and AWS.
  • 3. Improved stability and scalability of systems through updating the IaC codebase.
  • 4. Collaborated with cross-functional product teams to understand requirements.
AWSPythonTerraformBackend Engineering

Arbunize

3 roles

Full-stack Developer

Jul 2021 – Oct 2021 Β· 3 mos

Back End Developer

Jul 2020 – Jun 2021 Β· 11 mos

  • πŸ‘‰ Leading team for developing AI-based collaborative education platform VideoWiki.

AI Developer intern

Mar 2020 – Jun 2020 Β· 3 mos

  • Written Django Service with ORM to collect data(Cricket Football) and save.
  • Worked on ML problems to predict winning outcome, playing11 and winning fantasy team of a cricket match.
DjangoMachine Learning

Coding blocks

Summer Intern

Apr 2019 – Jun 2019 Β· 2 mos Β· Noida Area, India

  • Mentored Students to solve Coding questions related to data structure and Algorithms.
  • Organized 2-3 Doubt class in which primary focus was on solving student doubt and also
  • discussed a few advanced Recursion and DP problems

Education

Guru Gobind Singh Indraprastha University

Bachelor of Technology - BTech β€” Computer science and Engineering

Jan 2017 – Jan 2021

G.B. Pant Govt. Engineering College

Bachelor of Technology - BTech β€” Computer Science and Engineering

Jan 2017 – Jan 2021

Central Board of Secondary Education

Intermediate High School β€” Science

Apr 2013 – Jun 2017

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