Jan 2025 – May 2025 · 4 mos · Bangalore Urban, Karnataka, India · Remote

• Designed and Architected the Agentic framework for mental health domain.
• Used Patterns like Multiagent Orchestration , Agent Classification, Leveraged autogen architecture. Architected event driven data dictionary (RAG).
• Developed AI pipeline for appointments prediction.
• Built AI prediction based data validation pipeline.
• Architected and developed AI Agents for appointments scheduler, No show prediction. Integrated RAG data sources from 3rd party platforms via AWS GLUE.
• Fused classical ML and LLMs.
• Architected AI Agents Framework:
• Generic agent orchestration using agent factory patterns and responsibility segregation.
• Some use cases included: Patient and Provider matching, Auto appointment scheduling and personalized email based followup, Provider assistant.
• re-Architected and re-Engineered the security flows in the existing apps. Delivered new patient flow app end to end under supervision. Worked closely with Senior Data and AI Managers, CTO, Product owners, SDEs, SDET, Dev ops, AI ops, BAs, Data Engineering team.
• Skills: openai, vector store, python, pandas, sklearn, ascend.io, snowflake, spark , Segment, Mixpanel, CICD, Devops,
• AWS, Azure, Gen AI, LLMs, Agents, Chain of thoughts, Planner, Executer, Validator, Prompt Engg, Security, LLMs ops, RAG, Voice full duplex, AI as judge, data curation, evaluations, Autogen, docker and kubernetes, AWS, Azure, sagemaker.
• Impact: Visioning a fully automated Psychiatric care around the globe.

Mar 2024 – Feb 2025 · 11 mos · Bengaluru, Karnataka, India · On-site

• At GoSelfServe, I as a Vice President of Engineering and AI spearheaded the comprehensive transformation of this platform to enhance customer experience, operational efficiency and partner revenues.
• Key Achievements:
• AI-Driven Personalization: Architected and deployed an AI recommendation engine that increased average order values through intelligent upselling and cross-selling strategies.
• Event-Driven Architecture: Redesigned the platform using Domain-Driven Design (DDD) and implemented an event-driven micro-services architecture, enabling real-time data processing and scalability
• Automated AI Lifecycle: Developed a full-stack AI solution with automated model tuning and deployment pipelines, ensuring continuous learning and adaptation based on user interaction.
• Innovative Inventory Management: Filed a non-provisional patent for a "Hybrid Inventory Management System in Self-Ordering Kiosks," facilitating seamless integration with third-party inventory system.
• Data Infrastructure: Established robust data pipelines and configured PostgreSQL as a data warehouse, supporting advanced analytics and reporting capabilities.
• Conversational AI Integration: Currently leading the development of a full-duplex Generative AI-based food ordering and negotiation platform, featuring voice interfaces for enhanced user engagement.
• Leadership & Management:
• Oversee a multidisciplinary team of 24 professionals, including Software Development Engineers (SDEs), Software Development Engineers in Test (SDETs), DevOps, AI, and Data Engineers, fostering a culture of innovation and continuous improvement
• Implement Objectives and Key Results (OKRs) for strategic alignment, track Key Performance Indicators (KPIs) for performance measurement, and drive Agile and Scrum methodologies for efficient project execution
• Managed cross-functional collaboration, budget allocation, and resource planning.

Oct 2023 – Jan 2025 · 1 yr 3 mos

• Data Visualization
• Regression
• Classification
• Neural Networks
• Clustering
• Computer Vision
• NLP
• LLMs
• Chat GPT
• RLHF
• Unsupervised Learning
• KNIME
• Recommendation Systems

Jun 2021 – Dec 2024 · 3 yrs 6 mos

• Mentor: IIT Madras, Advance Engineering course in Blockchain
• Avg Rating 4.8
• Mentored and trained tech experienced personnel's in architecting and building decentralised systems.
• Conducted online classes and lectures.
• Evaluated the assignments and capstone projects.
• Consensus algorithms
• P2P Decentralized Distributed systems
• Mining and Consensus
• Smart Contracts
• NFT
• Solidity
• Ethereum, Hyperledger, Solana
• EVM
• DApps
• Smart contracts, web3.js, Metamask, MIST, Remix

Apr 2022 – Mar 2023 · 11 mos · Bengaluru, Karnataka, India

• Lead the AI and Backend Platform Engineering team.
• Expert in coding, code reviewing, HLD, LLD, System Architecture.
• Designed and developed Flam Scannable Code system (A circular QR code which can represent time for self expiry). Developed self correction and error detection algorithms.
• Filed design and utility patent.
• Architected and delivered Motion Capture stack for 3D Avatars with 3 premium features called CPP (Motion Correction, Motion Perfection and Motion Prediction).
• Developed and delivered deep learning based scanned image search system using Visual Transformers Masked Siamese Network and Vanila GANs
• Architected the vector search system, Used libraries like Faiss and Milvus. Distributed training done on millions of augmented dataset.
• Programmed the wrappers in c++ for the different libraries to get integrated in Android using JNI in Android and Objective C in ios.
• Filed 5 Utility and Design patents. Managed all the Intellectual Properties and Patents for the company.
• Leadership & Management:
• Oversee a multidisciplinary team of 12 professionals, including AI, SDEs, SDETs, DevOps, and AI.
• Implemented OKRs for strategic alignment, KPIs for performance measurement, and drove Agile and Scrum methodologies for efficient project execution. Managed cross-functional collaboration and resource planning.
• Skills:
• Programming Languages: Python, SQL
• Frameworks and Libraries: Flask, Django, Pandas, NumPy, Scikit-learn, TensorFlow, FAISS
• Databases and Data Stores: MongoDB, MySQL, PostgreSQL, DynamoDB, S3, VectorDb, Fiass, Milvus
• Messaging and Streaming: Kafka, RabbitMQ, SQS, SNS
• Cloud and DevOps: AWS, Kubernetes, Docker,
• Testing and QA: JUnit, Selenium, PyTest
• Tools and IDEs: Visual Studio Code, PyCharm,Postman, Swagger
• OpenCv, TensorFlow, AI, Deep Learning, PyTorch, Research and Development, Python, spark,C++, C#, Unity, System Architecture, Data Engineering, Cloud, Distributed scalable systems,Decentralized systems, Technical Leadership.

Feb 2020 – Apr 2022 · 2 yrs 2 mos · Bengaluru, Karnataka, India

• We are revolutionizing the way today cameras see the world. We have started with the human face as our first subject. PRND is at the forefront of all the innovative products that will ease the processes and human life.

Feb 2020 – Apr 2022 · 2 yrs 2 mos · Bangalore Urban, Karnataka, India

• With a mission to Create a face DID and AI infra for every 1.366 bn Indians via human face recognition technology, today Cognomen is getting ready for making all Indians experience face recognition based payments, access control, KYC without hampering human privacy.
• Cognomen's vision is to provide a decentralized authentication system for security and ease of accessing varied services by using blockchain to store encoded face data as NFTs owned by user and rented to businesses.

Jun 2019 – Feb 2020 · 8 mos

• SKILL EXPERTISE
• Data Structures & Algorithms
• Lean Product Dev
• AI solutions engineering
• Cloud Architecture and Distributed Computing
• System Design
• Computer vision for edge computing
• OpenVino
• Tensorflow, Keras , mxnet
• Decentralized systems, Smart contracts, web3.js, Metamask, MIST, Blockchain - Ethereum
• Solidity - Remix
• IOT, Edge Computing,
• Docker Container,
• Python, Django
• Cloud Computing - Azure:
• IOT Hub, API Management, Microservices-Service Fabric, Azure Active Directory, Web Apps, other Azure PAAS
• Filed US patents.
• Successfully delivered Media distribution and AI on edge Project ANTHEM by DOVER FUELING SOLUTION
• Technology lead for project ANTHEM by DFS. Follow below video for more details.

Nov 2017 – Jun 2019 · 1 yr 7 mos

• SKILL EXPERTISE
• Data Structures & Algorithms
• System Design
• Decentralized systems, Smart contracts, web3.js, Metamask, MIST, Blockchain - Ethereum
• Solidity - Remix
• IOT, Edge Computing,
• Docker Container,
• Python, Django
• Cloud Computing - Azure:
• IOT Hub, API Management, Microservices-Service Fabric, Azure Active Directory, Web Apps, other Azure PAAS
• C# .net
• .net core
• Python
• Open CV
• Computer Vision
• Deep Learning
• Lead the T-Media project. Contributed to redesign it for media distribution for fueling dispenser's.

Nov 2018 – Nov 2018 · 0 mo · Greater London, England, United Kingdom

• Visited to attend Knowledge Transfer from Prof. Quentin Stafford-Fraser and his team @Telemarq Cambridge University London

Jun 2016 – Nov 2017 · 1 yr 5 mos · India

• SKILL EXPERTISE
• CLOUD ENGINEERING
• Data Structures & Algorithms
• Cloud Computing, Azure PAAS services
• IOT, Edge Computing,
• C# .net
• Asp .net
• .net core
• python
• node js
• Software Engineer: Member of Cloud Engineering team Microsoft.
• worked with multiple client side applications and SDKs on service fabric, service discovery , distributed computing.

Oct 2015 – Jun 2016 · 8 mos · India

• PSI (Pratham Software Inc) is a startup developing products in the field of image processing.
• Skills: ffmpeg, image conversions, tiff, AWS S3, Win Forms, VBA, VB, Excel Macros, Win Services, Asp.net MVC, Task based parallel processing,SQL ,python , c#
• IPS (Image Processing System)- Product
• IPS break down the barrier between documents and data. Their services merge document-based information seamlessly and productively into the digital data that runs the organization. And they do it without forcing client into a one-size-fits-all system. Instead, their flexible high-volume processes adapt to clients.

Jun 2013 – Sep 2015 · 2 yrs 3 mos

• >Member of core platform team at CGI. This team aims at developing core packages and libraries.
• >Developed and created statistics application. Improved over single point of failures and report generation time to 30 minutes from 4 hours.
• Skills:
• System Design,
• Data structures and Algorithms,
• ASP.net, C#.net,
• SQL, SSRS, RDL
• MVC

Sep 2012 – Sep 2013 · 1 yr · India

• This project was formulated because of Kalpit's interest in cloud computing and massive scaling.
• Skills:Data structures and Algorithms, Open CV image cascades, facial recognition via non neural network approach, python, ASP.net MVC, Azure cloud services, MySQL, SSRS, RDL, HTML, JavaScript, CSS, JQuery, AJAX, WCF, Bootstrap, Online payment, Cognitive services, computer vision, open cv, emotion analysis, deep learning.
• Visit: http://digitacampus.net

Jan 2011 – Jan 2011 · 0 mo · India

• Network-Engineering Intern
• NTPC (National Thermal Power Corporation) Limited is India's largest energy conglomerate with roots planted way back in 1975 to accelerate power development in India.
• Worked with Network Engineering Team NTPC.