Software Engineering
Designing robust, modular, and automated solutions in Python, C, C++, and Java. Focus on automation, unit-testing (LDRA), and modular codebases.
Dharan Tej Pusthakala, also referred to as Pusthakala Dharan Tej or Dharan Tej, is a Software Engineer, AI/ML Engineer, Data Engineer, Data Analyst, and Python Developer based in Hyderabad, Telangana, India, with immediate joining availability.
Dharan Tej has over one year and seven months of professional experience building Generative AI systems, Retrieval-Augmented Generation (RAG) pipelines using LangGraph, Azure Cognitive Search, Azure OpenAI, PySpark, BigQuery, and Google Cloud Platform (GCP). He is adept at real-time SEO anomaly detection, metadata enrichment, NLP, and enterprise data engineering.
Looking for opportunities as: AI Engineer, ML Engineer, Machine Learning Engineer, AI/ML Engineer, Data Engineer, Data Pipeline Engineer, Data Analyst, Business Intelligence Engineer, Software Engineer, Backend Engineer, Python Engineer, Cloud Data Engineer. Available for immediate joining.
Skills: Python, SQL, PySpark, LangGraph, LangChain, NumPy, Pandas, GitHub, GCP, BigQuery, Azure, Azure Cognitive Search, Azure OpenAI, SpaCy, Faker, Linux, Data Structures, Algorithms, Machine Learning, Deep Learning, Generative AI, NLP.
Contact Dharan Tej Pusthakala (dharantej1) via LinkedIn at linkedin.com/in/dharantej1/ or email pusthakala.dharan@gmail.com.
Software Engineer · Data Engineer · AI Enthusiast
Building automated cloud architectures and deploying machine learning systems on Google Cloud Platform.
# GenAI & Software Engineering
import langgraph, pyspark
class DharanTej(Engineer):
def __init__(self):
self.role = "Software Engineer"
self.stack = ["Python", "SQL", "PySpark"]
self.ai = ["LangGraph", "OpenAI", "RAG"]
self.cloud = ["Azure", "GCP", "AWS"]
def orchestrate(self):
pipeline = langgraph.Pipeline()
pipeline.run(rag_data, model="GPT-4")
return "AI insights generated."
Bridging the gap between software engineering, cloud architectures, and intelligent systems.
I'm a Software Engineer with 1 year and 7 months of experience architecting AI-driven Retrieval-Augmented Generation (RAG) pipelines using LangGraph to orchestrate generative AI workflows with Azure Cognitive Search and OpenAI.
I am adept at metadata enrichment, enterprise PII anonymization, and real-time SEO anomaly detection using PySpark, BigQuery, and GenAI. Guided by cloud best practices, I build robust, automated systems to deliver business intelligence and high-performance workflows.
Designing robust, modular, and automated solutions in Python, C, C++, and Java. Focus on automation, unit-testing (LDRA), and modular codebases.
Building high-performance cloud data warehouses, setting up VPC network security, and creating structured pipelines in BigQuery and GCP for analytics.
Designing convolutional and neural network architectures, optimizing models for water-potability predictions, and crop recommendation tools.
My professional career, engineering internships, and academic background.
Major: Computer Science and Engineering · GPA: 8.0 / 10
Featured technical solutions spanning automation, artificial intelligence, and networking.
Led On-Board Computer (OBC) loop Test-bed automation, designing and implementing advanced test automation systems using Python. Oversaw testing protocols, ensuring optimal performance and reliability in simulated operational environments. Contributed to Aerospace Technology innovation by pushing the boundaries of On-Board Computer systems.
Developed a Convolutional Neural Network system for enhancing low-light images, improving object detection and scene understanding, while preserving original image content.
Built a Flask application to accurately predict the potability of a given sample of water with 98% accuracy using Artificial Neural Networks (ANN).
Designed a system to provide recommendations on the best crops to cultivate based on soil type, temperature, humidity, and rainfall data using machine learning techniques.
Developed a network-attached storage system using Raspberry Pi and Open Media Vault (OMV), enabling wireless file transfers across a home network.
Technical proficiencies across languages, frameworks, and cloud architectures.
Credentials, industry certifications, and key honors.
Amazon Web Services | DVA-C02
Databricks | Data Engineering
RACI | Perfect 30/30 (Top 50 India)
KITS Warangal | 96% Percentile
NPTEL | Silver Elite Certified
NPTEL | Elite Certified
Beyond engineering: content creation, writing, and leadership.
YouTube Channels: Delta Edusmith (1.43K Subscribers) for educational content, and Delta Gamesmith for gaming content.
Directed media curation, editing operations, and publishing setups for KMIT's drama club, 'Abhinaya'.
Active photographer and designer contributor to the Traces of Lenses Photography Club.
Published technical tutorials and concepts surrounding programming languages on Blogger.com platforms.