Prateek Agarwal

Software Engineer

Hyderabad, Telangana, India13 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in AWS and cloud computing solutions.
Proven track record in developing serverless applications.
Strong background in signal processing and radar technology.

Stackforce AI infers this person is a Cloud Computing and Signal Processing expert with experience in Defense Technology.

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Skills

Core Skills

Cloud ComputingJavaEmbedded SystemsSignal Processing

Other Skills

API GatewayAPI GatewaysAWS CloudFormationAWS CognitoAWS EMRAWS LambdaAlgorithm DesignAmazon CloudWatchAmazon DynamoDBAmazon ECSAmazon Elastic MapReduce (EMR)CC++CDKCoding Experience

About

Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled in Amazon Web Services (AWS), Algorithms, Data structures, Python. Strong engineering professional with a Bachelor’s Degree focused in Electronics Engineering from IIT Jodhpur.

Experience

13 yrs 6 mos

Total Experience

4 yrs 6 mos

Average Tenure

9 yrs 4 mos

Current Experience

Amazon

3 roles

Software Development Engineer ||

Jan 2024 – Present · 2 yrs 3 mos · On-site

Software Development Engineer ||

Jun 2019 – Dec 2023 · 4 yrs 6 mos · On-site

Software Development Engineer

Oct 2016 – May 2019 · 2 yrs 7 mos · On-site

Working on distributed systems to develop applications for sellers selling countless products on Amazon.
1. Created end-to-end ECS service: APIs in API gateway with Swagger IDL hosted on ECS service with Fargate and EC2 launch types. Used CDK instead of cloudformation for infrastructure setup like VPC(subnets), NAT Gateway, VPC Link etc
2. Worked with AWS Lambda to develop serverless applications in Java to persist data to DynamoDb, using RDE for testing
3. Worked with AWS EMR for using big data solutions provided by Hadoop and hive to backfill data to DynamoDb
4. Developing code in Java and typescript for processing data for seller reporting.

JavaAWS LambdaDynamoDBAWS EMRAPI GatewayECS+3

Qualcomm, hyderabad

Software Engineer

Aug 2015 – Sep 2016 · 1 yr 1 mo · Hyderbad

Working in Firmware Data path team focused on implementation of IEEE 802.11 standard for Wireless LAN; provided operational excellence to latest Snapdragon 820 Qualcomm processor by enhancing the quality of the code. I undertook the following assignments:
Developed feature for dynamic programming of number of data aggregation buffers based on customer initiated command
Provided support for customer reported data stall and throughput issues by analysing flow of data
Developed feature to store and fetch statistical information about transmitted and received data

CVxWorksIEEE 802.11Firmware DevelopmentEmbedded Systems

Drdo, bangalore

Scientist B

Jul 2012 – Aug 2015 · 3 yrs 1 mo · Bangalore

Worked in AESAR project which aimed at indigenous development of India’s first airborne radar for fighter jets to be used in Light Combat Aircraft (LCA) Tejas. Worked on the following aspects of AESAR :-
Implemented ‘Constant Gamma model’ for modelling Land Clutter in C language. This model is very useful for analysing target visibility and studying the effectiveness of other target detection algorithms (CFAR etc.) in clutter scenario
Developed and implemented a new algorithm called ‘Regional Constant False Alarm Rate’ in C language for reduction in false alarms in target detection. Experiment shows number of false alarms reduction to 1/3rd of the original false alarms in best case.
Developed a Scatter-Gather technique for data transpose of big matrices on multiple processors using VxWorks which is not feasible on single processor due to RAM limitations
Developed algorithms for Synthetic Aperture Radar, Weather Mode and Air to Ground Ranging modes in C language and VxWorks for multiprocessor system and their testing on hardware and at rooftop radar system
Simulated above signal processing models in MATLAB and carried out initial verification of these models
Performed real time data recording and analysis during flight sortie on roof-top radar
Analysed flight sortie record data and boosted Radar performance by studying the effect of various window sizes for arriving at an optimal window size for target detection techniques like Regional CFAR where the false alarm rate is reduced to 1/3rd

CVxWorksMATLABSignal ProcessingRadar Technology