Dhruv Pandya

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in GenAI and LLM-powered applications.
Proven track record in backend performance optimization.
Strong foundation in Agile methodologies and SDLC.

Stackforce AI infers this person is a Backend-focused GenAI Engineer with expertise in SaaS and Cybersecurity.

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Skills

Core Skills

Backend DevelopmentGenai EngineeringMachine Learning

Other Skills

DjangoFastAPISpring BootPostgreSQLPySparkApache AirflowMicrosoft AzureLLM orchestrationRAGPrompt engineeringQuery optimizationDatabase designDockerLSTMPython

About

Anthropic certified GenAI Engineer specializing in LLM-powered applications, with hands-on expertise in Retrieval-Augmented Generation (RAG), prompt engineering, and orchestration frameworks . Experienced in designing and deploying scalable AI-driven backend systems using Python, FastAPI, Django . Strong foundation in building production-grade GenAI solutions , including context-aware pipelines, vector search integration, and performance optimization. Well-versed in SDLC, Agile methodologies, and cloud-native architectures, with a track record of delivering reliable, high-performance AI services and conducting effective Root Cause Analysis (RCA)

Experience

2 yrs 10 mos

Total Experience

1 yr 5 mos

Average Tenure

2 yrs 6 mos

Current Experience

Hashedin by deloitte

2 roles

GenAI Engineer (Software Development Engineer - 1)

Dec 2023 – Present · 2 yrs 6 mos · Bengaluru · On-site

Architected and developed scalable backend services and distributed RESTful APIs using Django, FastAPI, and Spring Boot, supporting high-throughput enterprise systems and leading RCA to improve stability and reduce recovery.
Engineered GenAI-powered automation solutions using LLM orchestration and RAG, applying prompt engineering to reduce manual backend workflows by 80% and enhance developer productivity.
Improved backend performance by 35% through query optimization, efficient database design (PostgreSQL), and concurrency-aware request handling.
Implemented robust testing, monitoring, logging, and role-based access controls, ensuring production-grade reliability, correctness, and data integrity in Agile environments.
Deployed and operated cloud-native services on Microsoft Azure, enhancing availability, scalability, and operational resilience.
Built automated data pipelines using PySpark and Apache Airflow, and implemented Docker-based containerization with CI/CD for streamlined builds and deployments.

DjangoFastAPISpring BootPostgreSQLPySparkApache Airflow+3

Software Engineer Intern

Dec 2023 – Dec 2023 · 0 mo · Bengaluru · On-site

Built backend-driven applications using Spring Boot and PostgreSQL , delivering complete systems such as a Leave Management System and Restaurant Booking System.
Designed and optimized RESTful backend APIs to ensure data integrity , scalability , and reliable persistence.
Implemented backend data processing pipelines using PySpark and Apache Airflow (DAGs) for automated workflows.
Applied Docker , CI/CD , and backend deployment practices to support consistent builds and production readiness

Spring BootPostgreSQLPySparkApache AirflowDockerBackend Development

Nirma university, ahmedabad, gujarat, india

Research Student

Jan 2023 – May 2023 · 4 mos · Ahmedabad, Gujarat, India

Developed an Intrusion Detection System (IDS) using LSTM models on the KDDCup dataset, improving threat detection accuracy through deep learning techniques.
Optimized model training pipelines using NVIDIA CUDA, achieving a 35% reduction in training time while maintaining performance benchmarks.
Conducted data preprocessing, feature engineering, and hyperparameter tuning using Python, TensorFlow, and Scikit-learn, ensuring reproducibility and deployment readiness through structured documentation.

LSTMPythonTensorFlowScikit-learnMachine Learning