BACHAN NIGAM

Persistent Systems

Lucknow, Uttar Pradesh, India

Since March 10, 2026

Skills

AI/ML FrameworksPythonAzureGCPDocker / Kubernetes

Experience

Persistent Systems

Engineering Lead 5.1

March 1, 2025 – Present

Noida, India

Tranzita Systems (Client: P&G)

SDE-2

May 1, 2021 – March 1, 2025

Lucknow, India

Hashtaglabs

Data Science Intern

June 1, 2019 – December 1, 2019

Lucknow, India

NIIT Technologies

Software Test Engineer

August 1, 2017 – November 1, 2018

Gurugram, India

Key Strengths

Extensive experience as an Engineering Lead specializing in GenAI solutions, multi-agent systems, and data engineering at scale.
Proven track record in building production-grade AI platforms using LangChain, Azure AI Foundry, ADK, PySpark, and Databricks.
Strong expertise in LLMOps best practices, including automated deployment via GitHub Actions.
Deep understanding and practical application of RAG (Retrieval-Augmented Generation), VectorDB, FAISS, and various LLMs.
Experience in architecting event-driven AI pipelines and intelligent document processing (IDP) systems using Azure services (Blob Storage, Functions, Document Intelligence, OpenAI).
Proficient in designing and implementing human-in-the-loop (HITL) orchestration flows for efficiency gains.
Solid background in cloud platforms (Azure, GCP) and DevOps practices (Docker, CI/CD).
Strong programming skills in Python, SQL, Pandas, PySpark, and FastAPI.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score is 0, which raises serious concerns about cultural fit, including aspects like work attitude, stress handling, and team collaboration. Further assessment is critically needed to understand this score.

Soft Skills & Operational Fit

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Assessing your cultural and operational fit

Key Strengths

Extensive experience as an Engineering Lead specializing in GenAI solutions, multi-agent systems, and data engineering at scale.
Proven track record in building production-grade AI platforms using LangChain, Azure AI Foundry, ADK, PySpark, and Databricks.
Strong expertise in LLMOps best practices, including automated deployment via GitHub Actions.
Deep understanding and practical application of RAG (Retrieval-Augmented Generation), VectorDB, FAISS, and various LLMs.
Experience in architecting event-driven AI pipelines and intelligent document processing (IDP) systems using Azure services (Blob Storage, Functions, Document Intelligence, OpenAI).
Proficient in designing and implementing human-in-the-loop (HITL) orchestration flows for efficiency gains.
Solid background in cloud platforms (Azure, GCP) and DevOps practices (Docker, CI/CD).
Strong programming skills in Python, SQL, Pandas, PySpark, and FastAPI.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit