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Neeraj B
@babbar_codex
India
Hindi, Inglese
Chi sono
Full-stack engineer at a leading hedge fund solutions company. I build production systems daily — Go microservices, React Native apps, Python APIs, and complex SQL/Spark analytics on massive datasets.
I specialize in AI/LLM products: prompt engineering, conversational agents, safety layers, and A/B testing that drive real metrics like ARPU and retention.
Also run my own product studio — I think like a founder. Fast iterations, data-driven decisions, ship-first mindset.
Go · Python · React Native · SQL · Kafka · K8s · Docker · LLM · Prompt Engineering
Production-ready work, not prototypes.
Competenze
Neeraj B
offline •
Consulta i miei servizi
Sviluppo multipiattaforma
I will build full stack mobile app with ai integration, chat bot, admin, payments
Integrazioni IA
I will build custom ai agents, chatbots, and llm powered apps with memory and tools
Portfolio
Esperienza lavorativa
Software engineer
Hedge Fund • Full time
Jul 2025 - Present • 1 yr
Handling big data, Ai agents for various workflows, developing dashboards for etls
Ai Engineer
Astrology
Dec 2024 - Jul 2025 • 7 mos
Achieved an $8,000 cost reduction in the production environment and a $2,000 cost reduction in the development environment through expert resource and usage optimization. ◦ Deployed ELK (Elasticsearch, Logstash, Kibana) for advanced log viewing and monitoring, significantly boosting system efficiency and saving developers 40 minutes daily. ◦ Led efficient AWS Aurora database migration with under 15 minutes of downtime; orchestrated Jenkins pipelines, Python and Terraform scripts, and CodeDeploy jobs, reducing DevOps team support time by 2 hours. ◦ Strengthened system security through weekly vulnerability assessments, implemented advanced encryption techniques, and enforced stringent access management policies; resulting in reduced security incidents and ensured 99% server uptime. ◦ Integrated the Gemma 2B LLM model to automate content moderation, building a non-user-centric flow to detect NSFW words across multiple user inputs, achieving a precision rate of over 96%. ◦ Built a microservice using Meta’s Graph API to enable free WhatsApp chats on our platform, reducing promotional chat costs by 90% and boosting user reach significantly. ◦ Developed a complete chat-management microservice: handled storage of user messages, scheduled LLM-powered message recommendations using AI agents for astrologers, and automated system notifications, contributing to a 7% increase in user engagement and a 4% boost in monthly revenue. ◦ Created an MQTT-based messaging service to send and receive platform messages reliably and enforce standardized moderation policies across all services.
