Aman Kumar

Software Engineer

Ghaziabad, Uttar Pradesh, India2 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable backend systems.
Proficient in integrating AI technologies into workflows.
Strong problem-solving skills demonstrated in hackathons.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and data-driven applications.

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Skills

Core Skills

Backend DevelopmentMicroservicesAi IntegrationData AnalyticsData Engineering

Other Skills

Amazon Web Services (AWS)CassandraDatabase Management System (DBMS)DjangoElasticsearchGitPython (Programming Language)

About

As a Software Engineer, I bring strong experience in building scalable backend systems, microservices, and data-driven applications. I have worked with large databases, distributed systems, and cloud-native environments, enabling teams to deliver reliable, high-performance products. What I bring to any team is a mix of technical expertise and problem-solving ability — from designing efficient APIs and optimizing databases to integrating modern technologies like AI/LLMs into real-world workflows. I thrive in collaborative environments, quickly adapt to new challenges, and focus on delivering solutions that create measurable business impact. I've actively participated in hackathons like Smart India Hackathon, Google Solution Challenge, and OpenCode’22, where I honed my skills in problem-solving and teamwork. Feel free to connect or reach out!

Experience

Metroguild, inc.

2 roles

SDE

Jun 2025 – Present · 9 mos · On-site

Developed and deployed multiple backend modules and REST APIs for MetroLeads—including reports and analytics—implementing asynchronous bulk messaging to reduce latency by 25%, and adding campaign-aware analytics endpoints that enhanced tracking for thousands of users.
Designed and implemented an AI Call Assist powered by Gemini 2.5 Pro, analyzing over 10,000 monthly calls to auto-generate call summaries, follow-ups and detailed insights, reducing manual review time by 40%.
Built a real-time Analytics Dashboard using Elasticsearch, optimizing aggregation queries to reduce data retrieval time from 7.5s to 0.9s, enabling faster decision-making for clients.
Integrated 3+ third-party ERP systems into MetroLeads to extend post-sales workflows, achieving 15% higher client satisfaction and improving operational efficiency.
Engineered and optimized data pipelines and microservices using Python (Django, FastAPI) to interact with Cassandra and Elasticsearch, handling millions of records daily for analytics and reporting.
Collaborated with cross-functional teams to resolve 20+ production issues, refactor legacy code, and enhance API performance by 30%, improving scalability and reliability.

GitDatabase Management System (DBMS)ElasticsearchAmazon Web Services (AWS)CassandraPython (Programming Language)+3