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Kuldeep Dhakar

@kuldeepdhakar

Software Engineer - AI/ML at Google, productionizing agentic systems for enterprise HR workflows after building enterprise agents at ServiceNow.

India

Message

At Google, I work on productionizing scalable AI/ML and agentic systems for complex enterprise workflows across Google’s People/HR ecosystem. I design multi-agent architectures and LLM reasoning workflows, including planning, tool use, memory, evaluation, and human-in-the-loop orchestration.

At ServiceNow, I built a self-correcting ReAct agent over an enterprise knowledge graph, with a planner-synthesizer architecture and guardrails for grounded answers. I also built federated agentic retrieval across a knowledge graph and live APIs, alongside an LLM-as-judge evaluation framework.

At Hub Platform Technology Partners, I built AI tools that turned natural-language prompts into running apps and Snowflake-style expressions; the expression engine achieved 40% higher accuracy than few-shot prompting and made report creation 30% faster. Earlier at PeopleStrong, I developed machine-learning systems for SQL analytics, chatbots, job matching, attrition prediction, recommendations, and document parsing.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer - AI/ML

Current

Google

Sep 2026 - Present (1 month)

Working on productionization of scalable AI/ML and agentic systems for complex enterprise workflows used across Google's People/HR ecosystem. Designing multi-agent architectures and LLM reasoning workflows, including planning, tool use, memory, evaluation, and human-in-the-loop orchestration.

AI ML Agentic Systems LLM Agent Architectures AI Workflows Planning Tool Use Memory Evaluation Human In The Loop Workflows AI Infrastructure

Senior Machine Learning Engineer

ServiceNow

Oct 2025 - Sep 2026 (11 months)

Built a self-correcting ReAct agent over an enterprise knowledge graph with a planner-synthesizer dual-agent architecture. Built a federated agentic retrieval layer and GraphRAG extraction pipeline for agentic reasoning capabilities.

ReAct agents Knowledge Graphs Planner Synthesizer Adaptive Retrieval GuardRails Hallucination Detection Federated Retrieval Graph RAG NER Entity Resolution HNSW Multi Hop Retrieval LLM As Judge Red Teaming

Senior AI Engineer

Hub Platform Technology Partners

Nov 2023 - Sep 2025 (1 year 10 months)

Built an agentic AI tool converting natural-language prompts into running apps via a plan-act-observe loop. Designed a two-tier memory system and implemented syntax-aware RAG over an internal component library.

Agentic AI Plan Act Observe Docker WebSockets RAG Tree Sitter Embeddings Dependency Graphs NL To DSL SFT GPT 3.5 Turbo Kafka Azure Observability

Machine Learning Engineer - 2

PeopleStrong

May 2022 - Nov 2023 (1 year 6 months)

Developed a SQL analytics tool using procedural generation and supervised fine-tuning of LLAMA-2 with PEFT(QLora). Built a conversational agent using NLU techniques and deployed it as an API for customer service.

SQL LLaMA 2 PEFT QLoRA NLU Intent Detection Entity Extraction Sentence Transformers MiniLM LLM Elasticsearch API Deployment

Machine Learning Engineer

PeopleStrong

Apr 2020 - May 2022 (2 years 1 month)

Developed a recommendation system for matching CVs to job descriptions using word2vec embeddings and a neural network model. Developed an attrition prediction classifier using XGBoost with LIME for model explanation.

Recommendation Systems Word2Vec Neural Networks XGBoost Feature Engineering LIME API Deployment HR Analytics

Associate Machine Learning Engineer

PeopleStrong

Jun 2019 - Apr 2020 (10 months)

Built a content recommendation system using scraping techniques from RSS feeds and embedding techniques like sentence transformers. Implemented an end-to-end solution for automated bill parsing using Google OCR.

Content Recommendation RSS Sentence Transformers Content Based Filtering Cosine Distance OCR Google OCR NER Regex GCP Docker

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Roorkee

B.Tech, Metallurgical and Materials Engineering

2015 - 2019

Pursued a Bachelor of Technology in Metallurgical and Materials Engineering, gaining a strong foundation in materials science and engineering principles.