Ankit Kumar

Software Engineer

Bengaluru, Karnataka, India2 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Architected emotion-tracking system reducing unaddressed cases by 25%.
  • Developed RAG-powered chatbot automating 80% of queries.
  • Optimized REST APIs achieving 99.9% uptime.
Stackforce AI infers this person is a Backend Engineer specializing in scalable systems within the Education and Customer Support sectors.

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Skills

Core Skills

Backend EngineeringSystem Design

Other Skills

AWS LambdaAgileAgile / ScrumAkkaAlgorithmsAuthenticationBack-End Web DevelopmentC++CI/CD pipelinesCascading Style Sheets (CSS)Chatbot ResponsesChatbotsCloud Platforms: AWS | GCP | AzureCode ReviewsCommunication

Experience

2 yrs 5 mos
Total Experience
2 yrs 5 mos
Average Tenure
2 yrs 5 mos
Current Experience

Lighthouse learning group

Software Engineer

Jan 2024Present · 2 yrs 5 mos

  • Built and led a school-wide emotion tracking system that logged 1K+ daily entries, provided teachers with dashboards (daily/weekly/monthly), and triggered adaptive therapy interventions using heuristics/ML models, reducing unaddressed cases by 25%.
  • Designed and delivered a web app mapping students’ future career paths, implementing client-side compression and server validation pipelines to boost responsiveness (upload latency down 40%, validation time down 44%).
  • Developed the Euro Kids Chatbot by building a production-grade RAG stack that fused semantic retrieval (FAISS with IVFPQ) and syntactic search (Whoosh) with intent-filtered query rewriting and prompt-engineering strategies, delivering structure-aware responses to franchisee queries. Optimized retrieval latency by tuning IVFPQ search parameters and re-ranker thresholds, reducing median response time from 480ms to 310ms and automating 80% of queries, which scaled support throughput by 2.5×.
  • and reducing infrastructure costs by 35%.
  • Built and scaled backend services using Java + Spring Boot, constructing REST APIs, data ingestion pipelines, and orchestration logic, which improved response times by 30% and enabled scalable integrations.
  • Implemented an Academic Year Transition feature to allow seamless context switching across academic periods while preserving full historical data, ensuring 100% data integrity and increasing efficiency by 30%.
  • Led code reviews and enforced modular architecture with best practices for maintainability and performance.
  • Resolved 50+ P0/P1 issues, maintaining 99.9% uptime, and led rapid incident response across teams in Agile cycles.
JavaSpring BootREST APIsRAGMachine LearningData Pipelines+5

Education

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor of Technology - BTech

Jan 2019Jan 2023

Jawahar Navodaya Vidyalaya - JNV

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