Saksham Sharma — Software Engineer

I’m Saksham Sharma, a Software Engineer passionate about transforming complex problems into impactful solutions. With expertise in backend development, API management, and cloud technologies, I've successfully led and contributed to various high-stakes projects using Java, Spring, AWS, Azure, and more. At Shell India, I spearheaded a key integration project leveraging Java, Spring, and Azure Services, focusing on backend architecture and core interface development. My work on an internal platform led to a 30% cost reduction in contractor expenses, and I successfully launched a global project across multiple countries, generating $230,000 in revenue. I also optimized performance by reducing API latency by 50% through a React-based dashboard integrated with Kafka and Redis. Moreover, I developed over 10 APIs for seamless data transmission and achieved 90% test coverage using Python and Selenium. During my internship at Amazon, I redesigned the event notification system using Java, Spring, and AWS Services (SQS, SNS, DynamoDB), cutting failure rates to below 5%. I also addressed large-scale data issues with Extended SQS and multithreading, reducing service tickets by 30% and increasing system reliability. My work also involved improving monitoring using Ruby and achieving 95% code coverage. Hackathon Achievements: Singapore India Hackathon 2023 Winner: Selected as one of the top 24 students from across India, I developed the first Generative AI and LLM system to flag illegal insider trades using Python, LSTM, and Langchain models. This project reduced manual investigation efforts by 70%, and I had the honor of receiving the award from the President of Singapore. Smart India Hackathon 2022 Winner: Developed a voice assistant app covering 10+ Indian dialects, winning a ₹1 Lakh prize. The app helped address language diversity and broadened communication accessibility. India Africa Hackathon 2022 Runner-Up: Created a web app to help users choose between electric and fuel-based cars, incorporating React, Django, and machine learning models trained in Keras to provide long-term predictions on cost and performance. Technically, I’m proficient in C++, Java, Python, JavaScript, TypeScript, alongside frameworks and technologies like Spring, AWS CDK, Azure DevOps, React, Kafka, Docker, and Kubernetes. I’m always exploring new ways to optimize system performance and improve architecture scalability, particularly in distributed systems. Let’s connect and explore how we can collaborate!

Stackforce AI infers this person is a Backend-focused Software Engineer with experience in SaaS and cloud technologies.

Location: Bengaluru, Karnataka, India

Experience: 3 yrs 8 mos

Skills

Java
Spring Framework
Aws

Career Highlights

Led integration project generating $230,000 in revenue.
Achieved 90% test coverage with Python and Selenium.
Winner of multiple hackathons for innovative projects.

Work Experience

Shell

Software Engineer (2 yrs 10 mos)

Amazon

Software Engineer Intern (5 mos)

Tech Mahindra

AI ML intern (2 mos)

Open Health Systems Laboratory(OHSL)

Data Science Intern (1 mo)

PrepBytes

Campus Business Manager (5 mos)

JPMorgan Chase & Co.

Software Engineering Virtual Internship (1 mo)

The Sparks Foundation

Data science and analyst intern (1 mo)

National Engineering Olympiad

Campus Ambassador (1 mo)

Education

Bachelor of Technology - BTech at Amity University

Saksham Sharma

Software Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Led integration project generating $230,000 in revenue.
Achieved 90% test coverage with Python and Selenium.
Winner of multiple hackathons for innovative projects.

Stackforce AI infers this person is a Backend-focused Software Engineer with experience in SaaS and cloud technologies.

Contact

sakshamsharma809@gmail.com LinkedIn

Skills

Core Skills

JavaSpring FrameworkAws

Other Skills

AWS CloudFormationAWS Identity and Access Management (AWS IAM)AWS SDKAlgorithmsAmazon CloudWatchAmazon DynamodbAmazon SQSAmazon Web Services (AWS)Analytical SkillsApache KafkaAspect-Oriented Programming (AOP)AzureAzure API ManagementAzure DevOps ServicesAzure Logic Apps

About

Experience

3 yrs 8 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs 10 mos

Current Experience

Shell

Software Engineer

Aug 2023 – Present · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

Spearheaded the design and development of a full-scale integration platform for Shell mobility sites across Germany, South Africa, and Switzerland.
Developed over 10 secure REST APIs using Java, Spring Boot, and Azure, enabling real-time data exchange between site systems and centralized infrastructure.
Reduced contractor costs by 30% by delivering an internal automation platform within 4 months, cutting external support dependencies.
Led core interface development and backend architecture, ensuring high performance, reliability, and scalability for site-to-HQ communication.
Optimized system performance using Kafka for asynchronous communication and Redis for caching, reducing API latency by 50%.
Created a React-based operational dashboard for real-time monitoring of site activities, API statuses, and interface health.
Developed Python and Selenium-based automation test suites, achieving 90% test coverage and enabling efficient regression and functional testing.
Successfully launched the solution in multiple countries, contributing $230,000+ in revenue through enhanced operational efficiency.
Took sole ownership of the integration module after team downsizing, ensuring uninterrupted development, deployment, and cross-team support.
Collaborated with global teams and business stakeholders to ensure compliance, localization, and timely rollouts.
Integrated Siqma Couponing system with Shell’s existing platform, enabling centralized configuration and validation of promotional coupons across retail sites.
Designed backend workflows for real-time coupon redemption, expiry tracking, and validation logic tied to loyalty programs.
Implemented secure APIs to bridge Siqma POS with Shell's digital backend, ensuring accurate redemption at the pump and in-store.
Built automated test scenarios for 15+ coupon types, reducing post-production bugs and ensuring seamless E2E testing of promotional campaigns.

JavaAzure API ManagementAzure Logic AppsNode.jsObject-Oriented Programming (OOP)Python (Programming Language)+7

Amazon

Software Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · Gurugram, Haryana, India · Hybrid

Redesigned the event publishing flow for Amazon’s internal notifications service using Java, Spring Boot, and AWS (SQS, SNS, DynamoDB). The new architecture improved resilience and throughput, reducing message failure ratio to <5%. Integrated CloudWatch metrics and alarms for real-time observability, reducing downtime and improving alert responsiveness.
Fixed critical bugs in the internal developer-facing tool through in-depth log analysis and root cause debugging. Improved metadata logging and runtime efficiency. Increased unit test coverage to 95% using Mockito, enabling safer deployments and more robust regression testing.
Solved large message issues in SQS using Amazon S3-backed Extended SQS, DynamoDB, and DLQs to handle high-volume event spikes. Utilized AWS IAM, CloudFormation, and CDK for secure and scalable infrastructure provisioning. This reduced failure rates to under 1% and enabled smooth processing of payloads >256KB.
Built a sequential publishing workflow leveraging Spring AOP, multithreading, and AWS services to ensure order guarantees for time-sensitive events. Integrated with AWS CodePipeline/CodeBuild for CI/CD automation. This innovation led to a 30% weekly drop in Sev2 support tickets, improving system reliability.
Developed custom monitoring alarms using Ruby integrated with CloudWatch and OpsGenie, allowing for auto-escalation and fast response to system anomalies.
Created Athena-powered ad hoc query tools and observability dashboards to offer real-time insights into message lag, retries, and error rates. Also improved operational analytics for support teams.
Collaborated closely with senior engineers and product managers on design docs (PR/FAQs), sprint planning, on-call support rotations, and internal tooling upgrades, aligning with Amazon's high bar for engineering excellence.

JavaSpring AOPMockitoAspect-Oriented Programming (AOP)PipelinesMultithreading+13

Tech mahindra

AI ML intern

Jun 2022 – Aug 2022 · 2 mos · Noida, Uttar Pradesh, India

Working on a project called Metaverse Avatar security.
The project aims at making the avatar secure and authenticate the user using facial expressions of the avatar.
The facial expressions of the avatar will be captured and then it is matched with a trained model. If the user matches that means it is authentic otherwise it is not.
The avatar is created using Unreal Engine and model will be trained in Tensorflow/Keras.

Open health systems laboratory(ohsl)

Data Science Intern

Jun 2022 – Jul 2022 · 1 mo · Noida, Uttar Pradesh, India

Removed bugs from the code which improved the efficiency of the code by 5%.
Worked on real time AIIMS patient data.
Created a model to determine patient similarity through the symptoms of the patients which could assist doctors in finding patients of similar condition and symptoms and provide treatment accordingly.
Managed a site which showcased the predictions made by the predicted models so that hospital could use it.