Puru Vohra

Senior Software Engineer

Uttar Pradesh, India5 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced developer effort by 90% through CI/CD strategies.
Achieved 40% cost savings with scalable system designs.
Engineered AI solutions that significantly improved system reliability.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in distributed systems and cloud computing.

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Skills

Core Skills

Distributed SystemsMicroservicesCloud ComputingApi Development

Other Skills

AKSAPI ManagementAPIsAgile DevelopmentAzure AI FoundryAzure Application GatewayAzure BlobBack-End Web DevelopmentBackend ServicesBankingCI/CDCode ReviewComputer ScienceContainerizationContinuous Integration (CI)

About

Software Engineer with 4+ years of experience in designing and developing scalable distributed systems, microservices, and event-driven architectures. Proficient in Python, DSA, system design, and Azure, with a strong focus on building high-performance solutions that drive system reliability and scalability. Delivered software designs that improved system efficiency, reduced developer effort by 90%, and drove up to 40% cost savings.

Experience

5 yrs

Total Experience

2 yrs 2 mos

Average Tenure

7 mos

Current Experience

Ping identity

Senior Software Engineer AI

Nov 2025 – Present · 7 mos · Bengaluru, Karnataka, India · Hybrid

Building and evolving the core RAG and search infrastructure powering our AI platform. I lead design and implementation of backend services in Python, llamaindex, including ingestion pipelines, vector search, and APIs, with a strong focus on scalability, reliability, and testing. I partner closely with ML and platform teams to productionize models, improve system performance, and make architectural decisions that support long-term growth.

PythonScalabilityReliabilityBackend ServicesAPIsDistributed Systems+1

Cloud software group

Cloud Software Engineer

Sep 2023 – Nov 2025 · 2 yrs 2 mos · India · On-site

1. Engineered an autonomous AI-powered SRE assistant using Azure AI Foundry, GPT-4.1, and Python to analyze
multi-source telemetry and generate a 30-second human-readable outage summary in under 2 minutes. Reduced
MTTR by 60%, eliminating the need for manual triage and primary on-call SRE via introducing self-healing
workflows.
2. Architected and designed scalable, fault-tolerant distributed systems to enhance internal customer account management, achieving $150k in annual savings and reducing processing time by 70% using parallel processing in regards to session data extraction from Splunk and feeding it to the microservices for generating final user verdict as to retain or remove the user.
3. Engineered high-performance, fault-tolerant traffic routing algorithm for AKS clusters under active-active config. Optimized traffic distribution to minimize system outages ensuring 0 downtime during maintenance, reducing outages from 6 per quarter to 0.
4. Engineered Jenkins-based CI/CD deployment strategies for API management on Microsoft APIM, reducing developer effort for deployment and monitoring by 90%. Enabled modular deployments and integrated Slack notifications to streamline the process and improve visibility.
5. Led analysis for migrating legacy monolithic services to containerized solutions on AKS, reducing operational costs by $50k annually, and ensured minimal downtime during transitions.
6. Engineered Python-based Bot-Wrapper Library to ensure high availability across multiple systems, preventing redundant processing and deadlocks through the concept of Shared lease in Azure Blob and stateless operation techniques for pods deployed on AKS, significantly boosting system performance and reliability.
7. Developed scaling algorithms for Azure Application Gateway, leveraging load balancing and resource optimization techniques.