Saksham Sharma - Software Developer

Overview

A backend API engineer at a Middle level specializing in well-structured RESTful services and clean layered design. The strongest proven skill is building Java-based CRUD and search APIs with pagination and centralized error handling as implemented in ProductService.java and ProductRepository.java. There is little evidence of production-grade concerns such as authentication and authorization, caching or invalidation, migration history, retries or observability beyond basic logging.

Phone

Timeline

Software Engineer · Middle

LTIMindtree · Full-Time

May 2025 to Present 1 Year 6 Months Noida In office

Built and maintained enterprise REST APIs for the PAN 2.0 taxation platform, supporting secure high-volume digital processing. Designed reactive microservices in a domain-driven architecture and implemented event-driven pipelines for decoupled inter-service communication. Developed encryption and tokenization/detokenization services for sensitive PAN data, and supported production issue resolution. Wrote unit tests and worked with CI/CD while optimizing database access in agile sprints.

Spring Boot

Apache Kafka

JUnit

Mockito

MySQL

KIIT University (Kalinga Institute of Industrial Technology)

Bachelor's Degree · Computer Science & Engineering

2021–2025 Bhubaneswar, Odisha

Software Development Engineer Intern · Junior

RateGain · Internship

Jun 2024 to Sep 2024 3 Months In office

Developed multiple REST APIs using Spring Boot to support backend CRUD services backed by SQL databases. Implemented a file conversion API to transform CSV, XML, and Excel inputs into JSON for downstream processing. Reused the conversion logic across internal pipelines to support consistent data ingestion.

Spring Boot

SQL

Salesforce Developer Intern · Junior

Salesforce · Internship

Dec 2023 to Feb 2024 2 Months In office

Implemented backend business logic in Apex along with REST-based integrations. Built automation flows and integrated them with Lightning Web Components. Focused on delivering backend functionality and connecting it to UI components through APIs and platform services.

Rest API

Projects

ShapeVision Geometric Shape Detection

Built a geometric shape detection system that identifies shapes such as circles, ellipses, polygons, and stars from structured CSV input. Used numerical computing methods and optimization techniques to reduce fitting error and improve prediction precision. Focused on extracting stable geometric parameters from noisy or imperfect data.

SmartGrocer Product Catalog API

Created a production-ready REST backend for a product catalog with layered architecture, DTO mapping, and centralized error handling. Implemented data modeling for category-product relationships using ORM with transactional consistency. Added request validation and API documentation via OpenAPI/Swagger to support clean client integration.

Technical skills

Languages

8

Go

SQL

Java

C++

Python

Kotlin

C

Apex

Java

6

Spring Boot

Hibernate

Spring Data JPA

SLF4J

Gradle

Maven

AI/ML

7

Claude

Copilot

ChatGPT

Cursor

Prompt Engineering

NumPy

SciPy

DevOps

9

Rest API

AWS

Azure

Kubernetes

GitHub

GitHub Actions

Docker

Git

GitLab

Databases

3

MySQL

Apache Kafka

PostgreSQL

Other

10

Mockito

JUnit

Echo

Postman

AI Agents

CI/CD

Jenkins

Swagger

RAG

Tokenization

Middle Backend Developer Confidence: Medium API Engineer

A backend API engineer at a Middle level specializing in well-structured RESTful services and clean layered design. The strongest proven skill is building Java-based CRUD and search APIs with pagination and centralized error handling as implemented in ProductService.java and ProductRepository.java. There is little evidence of production-grade concerns such as authentication and authorization, caching or invalidation, migration history, retries or observability beyond basic logging.

API Design

5/10

How well APIs are designed

API design shows deliberate pagination, filtering and consistent error responses and OpenAPI usage, but lacks explicit versioning strategy, idempotency keys, or documented backward-compatibility rules.

Evidence

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/controller/ProductController.java: endpoints with pagination and search parameters

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/constants/ApiConstants.java: centralized URL constants used by controllers

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/config/OpenApiConfig.java: OpenAPI configuration for API documentation

Data Layer & Database

5/10

Working with databases

Data layer uses Spring Data JPA with custom JPQL queries and transactional service boundaries; there is no visible migration history, explicit isolation-level handling, or fetch-join N+1 protections.

Evidence

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/repository/ProductRepository.java: custom JPQL searchProducts and other query methods

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/service/ProductService.java: @Transactional annotations and use of repository methods

Scalability & Performance

2/10

Handling load and speed

Basic scalability practices are present such as pagination and sorting, but there is no evidence of caching strategies, queue-based decoupling, connection/DB pooling tuning, rate limiting, or measured performance optimization artifacts.

Evidence

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/service/ProductService.java: use of PageRequest and Pageable for pagination

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/repository/ProductRepository.java: searchProducts query enabling filtered paging

System Architecture

4/10

Overall system structure

Clear layered architecture (controller-service-repository) and DTO mapping are applied, showing conscious separation of concerns; there is no multi-service decomposition, explicit inter-service contracts, or advanced degradation strategies.

Evidence

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/config/ModelMapperConfig.java: model mapping configuration supporting DTO separation

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/service/CategoryService.java: service layer encapsulating business logic

Security & Auth

3/10

Protecting data and access

Input validation and centralized error handling are implemented which reduces surface for common issues, but there is no evidence of authentication/authorization, token lifecycle, secrets handling, or dependency/audit scanning.

Evidence

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/dto/ProductRequestDto.java: jakarta.validation constraints used for request validation

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/exception/GlobalExceptionHandler.java: consistent error response shaping and handling of validation exceptions

Reliability & Observability

3/10

Stability and monitoring

Logging and centralized exception handling are present and transactional readOnly flags are used, but there is little evidence of retries with backoff, timeouts, circuit breakers, graceful shutdown, structured correlation ids, or metrics/alerting instrumentation.

Evidence

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/exception/GlobalExceptionHandler.java: global exception handlers and structured ErrorResponse usage

SmartGrocer-Product-Catalog-API/src/main/java/com/example/backendProject/service/ProductService.java: consistent logging via slf4j and transactional annotations

Expertise

Java· Middle

Go Development· Middle

Microservices & API Architecture· Middle

System Architecture· Middle

Industries

Commerce· Middle

Technologies

Go· since 2024 · Middle

Java· Middle

Kotlin

Rest API· since 2023

Echo

Maven

Spring Boot· since 2024

Hibernate

Mockito· since 2025

Apache Kafka· since 2025

Spring Data JPA

SLF4J

Gradle

Gin· mentioned only

Recommendations

Develop RESTful CRUD and search services for e-commerce or inventory domains where pagination, validation and transactional integrity are primary requirements.
Build file ingestion and lightweight ETL endpoints in Go using Gin for CSV/Excel parsing and data sanitization pipelines.
Extend existing services with production concerns: add authentication/authorization, caching with invalidation, DB migration history, and basic observability (metrics and structured trace ids).

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

SmartGrocer-Product-Catalog-API RESTAPI

Job preferences

Work permits: India
Citizenship: India
Employment type: Full-Time