Open to opportunities

Dharan Tej

@dharantej1

I’m a software engineer building AI-driven RAG pipelines and real-time anomaly detection with Azure, PySpark, and GenAI.

India

Message

What I'm looking for

I want to build production AI systems—especially RAG and real-time anomaly detection—on cloud platforms, owning end-to-end pipelines with strong engineering quality, automation, and measurable impact.

I’m a Software Engineer with 1 year and 7 months of experience architecting AI-driven RAG pipelines using LangGraph to orchestrate generative AI workflows. I’ve deployed solutions on the Azure ecosystem with Azure Cognitive Search and Azure OpenAI for document ingestion and semantic retrieval, while focusing on metadata enrichment and reliable automation.

In my roles, I’ve built enterprise-grade Python pipelines for PII anonymization (SpaCy NER, Faker) and developed real-time SEO anomaly detection using PySpark and BigQuery with generative AI—reducing recovery time from one week to three hours. I also enjoy turning complex engineering work into maintainable systems, from Azure Functions to semantic search indexes, and I bring hands-on experience from embedded and avionics test-bed automation through my internship.

Experience

Work history, roles, and key accomplishments

Software Engineer

TEKsystems Global Services

Dec 2023 - Jun 2025 (1 year 6 months)

Architected and deployed a retrieval-augmented generation (RAG) solution on Azure using Azure Cognitive Search and Azure OpenAI for document ingestion and semantic retrieval. Implemented PII anonymization and metadata enrichment pipelines, and built a real-time SEO anomaly detection framework using PySpark and BigQuery with generative AI.

GenAI RAG LangGraph Azure Cognitive Search Azure OpenAI Python Pyspark BigQuery Generative AI Faker Anonymization Azure Functions Cognitive Search Indexes Semantic Search

Software Engineer Intern

Research Centre Imarat (RCI)

May 2023 - Dec 2023 (7 months)

Automated and enhanced avionics test-bed precision using Python, including developing embedded applications on ZynqSoC and working on model-based software development. Implemented and tested MIL-STD 1553 communication on ARM-I.MX8 and Zynq Ultra-Scale platforms with static/dynamic analysis for MISRA standards.

Python Embedded Software ZynqSoC Avionics Test Bed Automation Altair Embed Static Analysis Dynamic Analysis I.MX8

Software Engineer Intern

Research Centre Imarat (RCI), DRDO

May 2023 - Dec 2023 (7 months)

Automated and enhanced Avionics Test-bed precision using Python, optimizing projectile testing and developing embedded applications on ZynqSoC. Worked on model-based software development with Altair Embed, performed MISRA-oriented static/dynamic analysis, and implemented and tested MIL-STD 1553 communication on ARM-I.MX8 and Zynq Ultra-Scale.

Python Avionics Test Bed Automation ZynqSoC Altair Embed LDRATool Static Analysis Dynamic Analysis I.MX8 Embedded Software Embedded Systems

Education

Degrees, certifications, and relevant coursework

Keshav Memorial Institute of Technology

Bachelor of Technology (B.Tech.), Computer Science and Engineering

2019 - 2023

Grade: GPA: 8/10

Completed a Bachelor of Technology (B.Tech.) in Computer Science and Engineering at Keshav Memorial Institute of Technology (JNTUH), Hyderabad, graduating in 2023 with a GPA of 8/10.

Keshav Memorial Institute of Technology (JNTUH)

Bachelor of Technology (B.Tech.), Computer Science and Engineering

2019 - 2023

Grade: GPA: 8/10

Bachelor of Technology (B.Tech.) in Computer Science and Engineering from Keshav Memorial Institute of Technology (JNTUH) in Hyderabad, completed from 2019 to 2023.