Ujjwal Gupta

Technical Lead with 5+ years designing, building, and scaling production backend services and AI automation infrastructure at a high-growth startup. Proven expertise in applying GenAI, LLMs, and Agentic AI to solve complex challenges — built AI-powered automation handling 2M+ daily interactions that streamlined operations and delivered measurable customer impact. Strong hands-on skills in Python, Go (working knowledge), PostgreSQL, Docker, Kubernetes, and microservices architecture.

Experienced in writing high-quality, well-tested code, mentoring engineers, and leading project execution with ownership and urgency. Active user of generative AI tools in daily workflows.

Technical Lead — Backend Platform & AI Automation at SquadStack (2024-04 – Present)

High-Growth Startup — Rapid Scale from Series A to B

• Explored and applied advanced GenAI techniques including LLMs and Agentic AI to solve complex challenges — designed and deployed an AI automation platform processing 2M+ daily interactions that streamlined operations for sales, support, and pre-sales teams while delivering exceptional customer experiences.
• Wrote high-quality, well-tested code in Python to address critical product and business needs — building production services integrating OpenAI and Anthropic LLM APIs, RAG retrieval (PGVector + LangChain), prompt engineering with conversation memory, and multi-agent tool-calling workflows.
• Architected scalable, secure systems using microservices architecture, Docker, Kubernetes, and cloud infrastructure (AWS) — designing for reliability, horizontal scalability, and sub-second response latency across all customer-facing AI services.
• Built pipelines to integrate with third-party vendors and streamlined workflows — connecting AI automation with CRM systems, telephony providers, and analytics platforms to enable end-to-end automated customer interactions.
• Led project execution by managing priorities, deadlines, and deliverables across 8+ engineers — mentoring team members on design principles, coding standards, and AI productivity tools adoption.
• Debugged complex technical issues across distributed AI systems to enhance reliability, scalability, and ease of operation — implementing observability (Grafana, Langfuse) and automated alerting.
• Led end-to-end SOC 2 and ISO 27001:2022 compliance program: IAM, VPC architecture, CI/CD hardening, RBAC, data security, audit logging — ensuring regulatory compliance readiness across all production systems.
• Actively uses generative AI tools and copilots in daily workflows — leveraging AI-assisted development for code generation, review, debugging, and documentation to drive measurable improvements in productivity and code quality.

Senior Product Engineer — Backend & Platform at SquadStack (2022-04 – 2024-04)

• Designed and shipped a production real-time data pipeline using Debezium + Kafka + Snowflake with microservices architecture — achieving <5-minute replication lag for near real-time analytics and AI model training.
• Engineered a PostgreSQL-based distributed task queue handling 6,000+ tasks/sec — replaced managed message broker, cutting infrastructure costs by ~50% while improving system reliability and observability.
• Drove platform engineering: standardized CI/CD pipelines, automated deployment workflows, and internal developer tooling — reducing deployment errors by 60% and fostering high-quality software engineering processes.

Product Engineer — Backend at SquadStack (2020-10 – 2022-04)

• Built scalable backend microservices using Python and Django; integrated RabbitMQ and PostgreSQL for high-throughput distributed task processing.
• Optimized PostgreSQL performance through connection pooling (PgBouncer), proxy tuning, and profiling — improving API response times by 35%. Navigated rapid company growth from early-stage to scaled operations.

BTech in Information Technology – JSS Academy of Technical Education (2017 – 2020)

Diploma in Computer Science & Engineering – Invertis University (2014 – 2017)