Abhishek Agarwal

Software Engineer

Pune, Maharashtra, India4 yrs 7 mos experience

Key Highlights

75% downtime reduction achieved in storage services.
99.9% availability maintained across systems.
Executed large-scale upgrade orchestration with high efficiency.

Stackforce AI infers this person is a Backend Engineer specializing in Cloud Computing and Data Engineering.

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Skills

Core Skills

Data MigrationData SecurityMachine LearningData Pipeline Development

Other Skills

API DevelopmentAPI DocumentationAgile Software DevelopmentAlgorithmsAmazon Web Services (AWS)AngularApplication Programming Interfaces (API)Back-End Web DevelopmentBigqueryC++Code ReviewComputer ScienceContainerizationContinuous Integration (CI)Core Java

About

Distributed Systems & Backend Engineer (3 years) specializing in high-throughput storage services, low-latency object/file access, multithreaded systems, and infrastructure reliability. Delivered features across S3, FUSE-based file access, replication, deduplication, and large-scale upgrade orchestration. Proven impact: 75% downtime reduction, 75% storage savings, 99.9% availability, 100+ concurrent large-object uploads at ~150 ms average API latency.

Experience

4 yrs 7 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 6 mos

Current Experience

Cohesity

Member of Technical Staff 2

Dec 2024 – Present · 1 yr 6 mos · Pune, Maharashtra, India · On-site

Veritas Acquired by Cohesity

Veritas technologies llc

Associate Software Engineer

Sep 2022 – Jan 2025 · 2 yrs 4 mos · Pune, Maharashtra, India · Hybrid

Datametica solutions private limited

Software Developer Intern

Oct 2021 – Aug 2022 · 10 mos · Pune, Maharashtra, India · On-site

Developed Utility to convert data from Avro to JSON format for parsing and extraction of customer data hosted data-warehouse.
Planned and executed a comprehensive data migration initiative, transitioning on-premise data infrastructure to cloud-based
solutions with 99% efficacy, resulting in improved scalability and accessibility for customers.
Conducted in-depth POC of existing data warehouses to identify opportunities for optimization and efficiency improvement,
leading to enhanced data processing speed and cost saving upto $6 Million.
Implemented robust data security measures as a gatekeeper for cloud infrastructure, ensuring compliance with regulatory
standards (log file formatting which includes time in PST) and protecting sensitive information (password, certificate masking).
Python, Java, Groovy, Pyspark, Hive, Teradata, Bigquery, Shell, SQL.

PythonJavaGroovyPysparkHiveTeradata+5

Automaton ai infosystem pvt. ltd.

Data Science Intern

May 2020 – Jul 2020 · 2 mos · Pune, Maharashtra, India · On-site

Implemented a Machine Activity Detection system using TensorFlow, achieving high accuracy of 85% in identifying machine
behaviors and anomalies.
Created an end-to-end data pipeline, including data collection, preprocessing, and annotation, to optimize model performance
and improve prediction accuracy which save upto $6MM in human labeling cost for their ML experiments. This was achieved by
auto labeling high confidence records using our ML models.
Python, Flask, Angular, scikit-learn, Tensorflow.

PythonFlaskAngularscikit-learnTensorflowMachine Learning+1