Aakash Sharma

Software Engineer

Delhi, India 1+ yrs exp 83 · Excellent

About

Software Engineer skilled in Python and AI/ML, Django and FastAPI, frontend, backend Development, and microservices, with experience building high-performance, async-first, and event-driven backend systems. Strong in developing scalable APIs, multithreading and async I/O, and improving system reliability, latency, and caching. Proficient in database optimization, data workflows, pipelines, and queue-based processing.

Skills & Expertise (52)

Python Advanced

8.1/10

Years Exp

FastAPI Advanced

8.0/10

Years Exp

Django Intermediate

7.5/10

Years Exp

REST APIs Intermediate

7.5/10

Years Exp

Docker Intermediate

7.5/10

Years Exp

AWS Intermediate

7.3/10

Years Exp

SQL Intermediate

7.0/10

Years Exp

Postgresql Intermediate

6.5/10

Years Exp

MongoDb Intermediate

6.5/10

Years Exp

Kafka Intermediate

6.5/10

Years Exp

Kubernetes Intermediate

6.5/10

Years Exp

Git Intermediate

6.5/10

Years Exp

DBSCAN Matplotlib Information Retrieval NLP LDA Naive Bayes K-Means Random Forest Pandas Seaborn Streamlit LLMs Gemini VS Code Jira Postman FileZilla FortiClient VPN Google Colab Databricks DB optimization C++ Java AsyncIO Multithreading Distributed Systems Caching Redis Queues RabbitMQ SVM SSH EC2 S3 IAM GitLab CI NumPy scikit-learn NLTK TF-IDF

Work Experience

Python Developer

Itechmission

Dec 2025 - Present

Improved system throughput by 30% by designing and deploying scalable async microservices using FastAPI/Django for large-scale CPI, EPI, and IPI computations on the Live Mauritius government statistics platform. Reduced request failures by 40%+ by implementing event-driven architecture using RabbitMQ with retry mechanisms and decoupled worker services. Increased system reliability and prevented server overload by architecting worker-based microservices, offloading heavy computations from core application and database layers. Enhanced system security by implementing token-based authentication middleware and RBAC, ensuring controlled and secure access across distributed services. Reduced deployment time by 50% by implementing CI/CD pipelines (GitLab) and containerizing services using Docker. Improved API performance and concurrency handling by 35% using asyncio-based design, integrating with PostgreSQL & MongoDB. Reduced debugging time by 40% by implementing structured logging using Python’s logging library to capture exception details, file names, and line numbers, enabling faster root cause analysis. Developed a production-grade AI chatbot (NLP/ML) achieving 95%+ accuracy, improving user engagement and response efficiency on the Live Mauritius government statistics platform.

Software Engineering Job Simulation

JPMorgan Chase & Co.

Jan 2026 - Jan 2026

Developed REST APIs and backend components using microservices architecture with H2 database integration. Implemented Kafka-based event-driven workflows, API integration and controller development. Applied clean code, modular design, and scalable system design practices aligned with real-world fintech engineering.

Python Developer Intern

Itechmission

May 2025 - Nov 2025

Reduced data processing latency by 40% by building PySpark + Apache Hudi ETL pipelines for distributed data workflows on the Live Mauritius government statistics platform. Accelerated release cycles by 50% by implementing Docker-based containerization and GitLab CI/CD pipelines. Processed millions of records efficiently by developing server-side data processing systems for SADC trade data systems, including aggregation, transformation, and batch pipelines. Improved query performance by 30%+ through indexing and query optimization and enabled scalability using sharded database architecture.

Data Management Intern

Broz Media

Jan 2025 - Apr 2025

Built a high-volume ETL pipeline (Python, Selenium) automating ingestion of 10,000+ records/day. Optimized database queries, improving lead data quality by 25%. Developed an automated data quality framework, reducing manual validation by 90%.