Harsh Mangroliya

Software Engineer

Ahmedabad, Gujarat, India2 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in backend development and real-time systems.
Proven track record in financial data processing.
Strong skills in Python and modern C++ integration.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and SaaS solutions.

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Skills

Core Skills

Backend DevelopmentReal-time Systems

Other Skills

AWSAmazon Web Services (AWS)Application Programming Interfaces (API)Back-End Web DevelopmentC (Programming Language)C++CeleryChromaDBComputer ScienceComputer networksDRFData StructuresDatabase AdministrationDatabase DesignDatabases

About

I am a passionate and results-driven Software Engineer with a strong foundation in backend development and system design. With hands-on experience in Python, Django, Modern C++ (11, 14, 17), and a variety of modern frameworks and tools, I specialize in creating secure, scalable, and high-performance solutions tailored to complex business needs. I excel at solving challenging technical problems and have worked on diverse projects ranging from real-time financial data processing engines to multi-tenant backend systems for enterprise applications. My expertise includes: Backend Development: Building RESTful APIs, implementing multi-tenancy, and optimizing database architectures. Real-Time Systems: Developing high-performance, event-driven architectures for algorithmic trading and market data analytics. Scalability & Optimization: Designing systems to handle high-frequency data with low latency, leveraging technologies like Redis, TimescaleDB, and asynchronous programming. Security: Implementing robust authentication (OAuth, JWT), encryption protocols, and secure API integrations. I am continuously learning and staying updated with the latest technologies to deliver innovative solutions. Beyond technical work, I enjoy collaborating with cross-functional teams, mentoring peers, and contributing to a culture of continuous improvement. Let’s connect to discuss cutting-edge technology, backend development, or opportunities to innovate together!

Experience

2 yrs 10 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 9 mos

Current Experience

Quantumbot

Python Developer

Sep 2024 – Present · 1 yr 9 mos · Ahmedabad, Gujarat, India · On-site

Built the complete Knowledge Base module for an AI-driven SalesBot, including ingestion, cleaning, transformation, chunking, and embedding of organizational documents.
Implemented vector-based retrieval using Qdrant/ChromaDB to deliver highly accurate RAG responses for customer and internal queries.
Developed retrieval-orchestration flows enabling LLM agents to answer product questions, handle objections, and engage users with contextual reasoning.
Designed scalable and automated ETL pipelines to continuously sync and update the Knowledge Base from multiple internal sources.
Built a high-performance Python-based backtesting engine with tick-level accuracy for strategy evaluation, portfolio risk analysis, and multi-symbol performance reporting.
Integrated modern C++ modules into Python workflows to accelerate order matching, execution simulation, and statistical computations.
Optimized PostgreSQL using TimescaleDB for efficient storage and querying of high-frequency tick data in both backtesting and real-time systems.
Developed event-driven, low-latency microservices using Python (uv/asyncio) for real-time trade execution pipelines.
Engineered scalable and fault-tolerant market-data ingestion pipelines capable of processing large-volume distributed tick streams.
Collaborated with quant researchers to convert prototypes into production-ready trading and analytics systems with reproducible workflows.
Tech Stack: Python, C++, PostgreSQL, TimescaleDB, uv/asyncio, Qdrant, ChromaDB, RAG Pipelines, ETL Workflows, Microservices, Docker.

PythonC++PostgreSQLTimescaleDBuv/asyncioQdrant+6

Fiscal finserve

Software Engineer

Jul 2024 – Jun 2025 · 11 mos · Surat, Gujarat, India · On-site

Contributed to the development of two distinct high-performance systems tailored for financial market operations: a Django-based backend and a Time Series Data Engine for real-time market data processing and algorithmic trading.
Key Projects:
1. Django Backend System:
Designed a robust backend for handling trade operations such as bulk trade send and close APIs using slot-based logic.
Integrated key technologies like DRF, JWT authentication (SimpleJWT), Celery for task queuing, and Redis for caching and message brokering.
Developed custom middleware for audit logging, implemented API throttling by IP, and ensured system performance with profiling tools like Django Silk and Debug Toolbar.
Tools & Concepts:
Frameworks & Libraries: Django, Django Channels, Django REST Framework.
Caching & Message Broker: Redis, django-redis.
Task Management: Celery.
Security: JWT (SimpleJWT), API throttling.
2. Time Series Data Engine & Quant Server:
Developed a high-performance system to process tick-by-tick market data, generate custom timeframe candles, and perform real-time quantitative analysis.
Leveraged WebSockets for real-time data streaming and TimescaleDB for efficient time-series data storage and querying.
Utilized modern C++ concepts for low-latency processing, such as multi-threading (std::thread, std::async), lock-free data structures, SIMD, and Boost.Asio for asynchronous I/O.
Integrated with trading APIs for seamless order execution based on algorithmic triggers (Alpha entry/exit conditions).
Tools & Concepts:
Database & Data Management: TimescaleDB, Hypertables, Connection Pooling (libpqxx, PgBouncer).
C++ Concepts: RAII, SIMD, Circular Buffers, Concurrency & Parallelism.
Network Programming: Boost.Beast, ZeroMQ, TCP/UDP.
Architectural Patterns: Event-Driven Architecture, Complex Event Processing (CEP), Shared Memory.
Performance Optimization: Write-Ahead Logging (WAL), prepared statements, batch insertion.

DjangoDjango REST FrameworkRedisCeleryTimescaleDBC+++3

Chinmay technosoft private limited

Python Developer

May 2023 – Jun 2024 · 1 yr 1 mo · Ahmedabad, Gujarat, India · On-site

Worked on backend development and system architecture design while learning modern tools and techniques to build secure, scalable applications.
Tools & Technologies Learned:
Programming & Frameworks: Python, Django, Django Rest Framework (DRF), QT5
Database & Caching: PostgreSQL, Redis, dynamoDB
Cloud: AWS Lambda, EC2
Security: Authentication mechanisms (OAuth, JWT)
System Architecture:
Gained knowledge of Monolithic, Microservices, and Event-Driven Architecture.
Explored Serverless Architecture using AWS Lambda with DynamoDB.
Applied multi-tenancy patterns, including Shared Database with Separate Schema.
Database Design:
Designed and normalized relational databases using PostgreSQL.
Implemented complex data models like Star Schema and Snowflake Schema.
Optimized queries using indexing and execution plans.
Security:
Implemented secure authentication with OAuth and JWT.
Applied encryption protocols (SSL/TLS) and configured CORS policies.
Communication Protocols:
Worked on RESTful APIs, HTTP/HTTPS, and WebSocket for real-time communication.
Projects:
Apt Search:
Developed a Python-based document search application with a Qt5 UI.
Designed server-side authentication with Django and PostgreSQL, enforcing MAC-based session control for licensing.
Designed scalable server-side logic to enforce subscription-based access.
cDocGen:
Built backend for a document automation SaaS platform using Django and DRF.
Developed multi-role user authentication with JWT.
Leveraged a shared database with a separate schema for tenant-specific data management, ensuring scalability and data isolation.
Built custom middleware to identify tenants dynamically and log audit trails.
Enabled PDF generation, data encryption, and email document api.
Through this internship, I developed a understanding of backend systems and contributed to projects that streamlined workflows and improved efficiency for end-users.