Senior software engineer with 7+ years of expertise engineering resilient systems in C/C++, Python, Cloud Platforms (Azure, AWS, GCP), and distributed data engines. Proven track record boosting VM crawl speed by 60% and cutting database load by 50%.
Dedicated to crafting high-performance, fault-tolerant infrastructure and scalable enterprise software.
I am a Senior Software Engineer based in New Jersey, NJ, holding a Master of Data Science from the University of North Texas (GPA 3.9/4.0) and a Bachelor of Computer Science from JNTU.
Over my 7+ years at Commvault Systems, I have spearheaded mission-critical subsystems spanning low-level Linux and Windows hypervisor internals (C/C++), enterprise-wide threat scanning, multi-cloud autoscaling (Azure, AWS, GCP), and high-volume database engineering.
Whether it's harnessing Linux FANotify APIs to
accelerate VM crawling by 60%, architecting T-SQL database
partitioning to reduce 50% strain on production metrics, or
deploying serverless telemetry to Azure Blob Storage, I take
pride in solving deep technical bottlenecks with measurable
business impact.
Specialized in low-level hypervisor integration, device mounting tools, Live Browse in VMs, and multi-threaded file indexing.
Engineered seamless auto-scaling backup, restore, and threat analyze workflows across Azure, AWS (EC2/EBS/VPC), and GCP.
Designed scalable T-SQL database solutions, Azure Managed SQL migrations, and Highcharts telemetry reporting.
Master's in Data Science; built attention-optimized BD-LSTM neural network models for automated speech assessment.
Consistent career progression driving core product reliability, security, and cloud scalability at Commvault Systems.
Leading core virtual server agent (VSA) threat intelligence, cross-cloud autoscaling, and low-level hypervisor file recovery modules.
FANotify APIs, accelerating
VM crawling speed by 60%.
Architected high-volume database performance overhauls, Azure migration POCs, and cloud disaster recovery modules.
Engineered automated report generation frameworks and spearheaded SaaS multi-tenant database adaptations.
docx4j and pptx4j open-source
libraries to tailor enterprise-grade formatted Docx and PPTx
executive briefings.
PDFKit,
wkhtmltopdf, and REST APIs to convert raw HTML
into polished PDFs and orchestrate scheduled deliveries.
Built centralized performance monitoring databases and real-time interactive health dashboards.
Deep systems utilities, cloud platforms, deep learning models, and foundational software engineering.
Systems • Security
High-performance malware and threat analysis subsystem for
virtual machines. Leveraged native Linux
FANotify file monitoring APIs to index and crawl
guest file structures 60% faster without hypervisor overhead.
Cloud Architecture
Automated resource orchestration engine deploying backup, restoration, file indexing, and threat scanning workers dynamically across Microsoft Azure, Amazon Web Services, and Google Cloud Platform.
AI • Deep Learning
Academic capstone neural network framework to score oral English proficiency. Developed a Bidirectional LSTM (BD-LSTM) architecture enhanced with attention weight optimization for acoustic and linguistic feature evaluation.
Constructed a custom high-performance blob storage and file management subsystem in C. Implemented low-level block allocation, memory-mapped disk buffers, binary indexing, and transaction-safe chunk write semantics.
Fulfilled a compiler and execution engine for a custom assembly-like language. Emulates the x86 8086 processor architecture including register sets (AX, BX, CX, DX), stack pointer operations, memory flags, and branching logic.
Guided an engineering team developing a mobile healthcare platform connecting intellectually disabled individuals and guardians directly with medical specialists. Node.js backend with Android frontend.
A balanced toolkit spanning low-level operating system internals, multi-cloud platforms, and enterprise data tier architecture.
Strong academic foundation in computer science and data science, reinforced with proven leadership.
Specialized in statistical modeling, neural network architectures, applied machine learning, distributed data pipelines, and natural language processing.
Comprehensive foundation in algorithms, data structures, compiler design, computer architecture, low-level operating systems, and relational databases.
Validation of foundational cloud services, Azure architecture, security, privacy, and compliance.
Ranked among top 100 engineering students statewide; selected for intensive 2-month systems training at IIIT Hyderabad led by industry veterans.
Elected president heading a vibrant student body of 1,000+ engineers; spearheaded technical hackathons, industry keynotes, and systems boot camps.
Interested in collaborating, discussing senior engineering roles, or exploring high-performance systems architecture? Send me a message!
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