Soham Srivastava

Detail-oriented Associate Software Engineer with a robust foundation in Python, SQL, data structures, object-oriented programming, SDLC, and automation. Experienced in building scalable solutions, optimizing workflows, and delivering high-quality code that meets business and technical requirements. Skilled in collaborating within agile teams to debug complex issues and support end-to-end development cycles. Personable and analytical with a strong problem-solving aptitude and a solid understanding of statistical methods and machine learning algorithms, committed to leveraging data insights for impactful decision-making.

• Built an end-to-end automated decision-support pipeline integrating live market data, predictive ML models, and optimization algorithms, increasing reliability and reducing manual intervention.
• Applied process optimization techniques (latency reduction, retry logic, fallback routing, API rate-limit handling) to ensure stable and efficient real-time operations.
• Developed KPI dashboards to monitor model accuracy, system bottlenecks, and operational health, enabling data-driven decision-making.
• Improved system throughput by 65% using workflow restructuring, modular architecture, and intelligent caching strategies.

• Won First Prize in Project Expo 2025 (Research Category) for developing an innovative financial modeling solution using machine learning techniques.
• Joint Secretary, CSBIZ Nexus Society – Managed departmental society operations, coordinated with multiple stakeholders, and successfully organized technocultural events, including hackathons and student engagement activities.