Contact

📞 7478030555

✉️ [email protected]

📍 Pune

🔗 LinkedIn Link

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About

Product and Software Engineer with 5+ years of experience building scalable systems, enterprise platforms, and AI-driven products that solve real operational problems.

I work at the intersection of product thinking, backend engineering, and applied AI designing systems that move beyond simple automation into reliable, production-ready workflows. My experience spans building secure enterprise platforms, agentic AI systems, workflow automation engines, and intelligent products across education, publishing, compliance, and enterprise operations.

I specialize in understanding business problems deeply, translating them into technical architecture, and delivering end-to-end solutions from research and requirement gathering to system design, implementation, and deployment.

My work includes designing ontological agent systems for large-scale editorial translation, building enterprise AI platforms with multi-agent orchestration, creating real-time teaching copilots, and developing AI workflows that reduce manual effort while improving operational scale and decision-making.

I thrive in research-oriented environments where solving complex problems, building new systems, and creating high-impact products matter most. My focus is always on building technology that is practical, scalable, and capable of driving measurable business outcomes.

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Education

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Contact

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Projects

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Experience

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Notable Projects

Projects

Experience

Cybernetyx - Principal Product Engineer

09/ 2025 – Current

• Designed and built agents that help the ed-tech platform transform the teaching and learning experience. Built RAG workflows with ChromaDB, Pinecone with hybrid retrieval, reranking, contextual memory, and DAG-based orchestration that align the actual curriculum with the needs of teachers and students.
• Designed and built the conversational agents, which are based on state-of-the-art research, with less than 200 ms STT latency and less than 100 ms TTS latency. The agent converses with an accent and most of the Indic languages.
• Designed and implemented LLM evaluation and observability workflows for prompt monitoring, hallucination detection, tracing, and failure analysis to improve production reliability, and reduce regressions across deployed models.
• Designed and deployed cloud-native AI workflows on AWS using S3, Lambda, ECS, SQS, and Parameter Store for scalable inference, model rollout, workload isolation, and fault-tolerant asynchronous processing.
• Designed and built a course planner agent that creates dynamic courses based on the context graphs and helps students understand the learning delta.

Barclays - Senior Software Developer

08/2021 - 08/2025

• Developed high-performance microservices in Python and Java for a corporate card platform, enabling real-time statement generation, transaction search, and balance inquiry with submillisecond latency.
• Designed and deployed LLM-powered voice agents to automate customer interactions for statements and transactions,integrating speech-to-text, NLU/NLP, and custom prompt-engineered responses.
• Built NLP microservices using Hugging Face Transformers, LangChain, and PyTorch, tailored to compliance risk analysis, fraud detection, and client intent recognition.
• Implemented Retrieval-Augmented Generation (RAG) with vector databases to enable dynamic and context-aware voicebot/chatbot responses, significantly improving resolution accuracy.
• Created compute-efficient preprocessing modules (e.g., text normalization, embedding generation) in Rust and Python to offload heavy workloads and reduce inference latency in AI pipelines.
• Worked across Private Banking, Wealth Management, and Corporate Banking to design AI and automation solutions for KYC, onboarding, portfolio intelligence, and compliance workflows.
• Prototyped and deployed AI services to AWS and OpenShift, ensuring autoscaling, secure API access, and high availability under enterprise-grade SLAs.
• Developed full-stack dashboards and workflows using FastAPI, React, and Node.js, allowing business users to interact with AI models through intuitive UIs.
• Implemented token-based authentication and fine-grained access controls in backend services using Python and Node.js, protecting PII and financial data.
• Integrated CI/CD pipelines (Jenkins) for automated model validation, service deployment, and rollback handling—reducing delivery cycle time and saving 100+ dev hours/month.

Education

IIT Kharagpur B.tech / M.tech 2016 – 2021