Puneet Gupta β Senior Software Engineer
Hey there! π Iβm 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). π AI/ML Expertise 1. LLMs & Transformers β Prompting, fine-tuning, domain adaptation. 2. Agentic AI, MCPs & A2A β Multi-agent workflows and cross-platform integrations. 3. ADK, Langraph, LangChain, VertexAI, HuggingFace β Rapid prototyping & deployment. 4. Agentic RAG, Knowledge Graphs, Reranking β Contextual search, retrieval, reasoning. 5. Backend Engineering β Scalable APIs with FastAPI, Django, Go Chi. π AI Innovations & Core Work 1. GenAI Agentic Pytest Framework β Automated test code generation (75% beta accuracy, cut cycle by 60%). 2. LogWatch Agent β 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 β 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 β Automated knowledge management, streamlining QA workflows. 5. Core Engineering Contributions β 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%. π Patents Filed 1. LogWatch β AI-powered clustering, summarization & connector-driven workflows. 2. RAG-as-a-Service (SYQR) β Multi-model embeddings & advanced knowledge bases. 3. Graph-based Anomaly Detection β ML + graph structures for rare event detection. 4. CodeTree β Hybrid tree for AI-driven code generation & semantic analysis. π 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
Stackforce AI infers this person is a SaaS expert with a strong focus on AI-driven solutions and backend engineering.
Location: Delhi, India
Experience: 4 yrs 6 mos
Skills
- Ai Agents
- Backend Engineering
Career 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.
Work Experience
Palo Alto Networks
Senior Staff Software Engineer (2 yrs 10 mos)
Staff Software Engineer (7 mos)
LSEG (London Stock Exchange Group)
Software Engineer (10 mos)
Arbunize
Full-stack Developer (3 mos)
Back End Developer (11 mos)
AI Developer intern (3 mos)
Coding Blocks
Summer Intern (2 mos)
Education
Bachelor of Technology - BTech at Guru Gobind Singh Indraprastha University
Bachelor of Technology - BTech at G.B. Pant Govt. Engineering College
Intermediate High School at Central Board of Secondary Education