Deepak Yadav-Lead Product Research & Development Engineer
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Experience
Lead Product Research & Development Engineer
Afiniti AI
- Architected a LangGraph/AWS Bedrock Orchestrator Agent to unify three fragmented, independently-operating contact-center chatbots (Telephony Hub, Intelligence, Pairing Assist) into one context-aware entry point — directly addressing the AI-orchestration gap where disconnected point solutions add complexity without improving outcomes. Introduced 4-tier intent routing and cross-agent shared memory to eliminate repeated context loss across product handoffs.
- Designed a ReAct-based "Level 2" planning upgrade that replaced a 250-intent hardcoded system with dynamic, Skill-grounded LLM planning — breaking through the ceiling where rules-based automation runs out of coverage. Unlocked multi-step analytical queries that the prior intent-matching system structurally couldn't handle.
- Built a Plan Validator and execution-loop safeguards to prevent hallucinated tool calls from reaching production data — ensuring autonomous execution stayed auditable and trustworthy, rather than optimizing for gameable operational metrics at the expense of real customer outcomes.
- Leading and mentoring a team of three PhD interns on applied AI research projects, shaping research direction and contributing to successful publications.
Machine Learning Engineer – III / Sr. Manager AI -ML
Circana (NPD/IRI)
- Led the design of a scalable LangGraph + LLM-based Agentic framework to quantify social media influence (authenticity, emotional resonance, temporal dynamics, and causality), fully automating long-form reporting and eliminating the manual work of a five-member analyst team.
- Spearheaded an LLM-driven product information extraction(Web scrapping) system for complex HTML product pages by fine-tuning open-source LLMs and adding RAG, significantly increasing extraction accuracy and speeding up competitive intelligence and market research.
- Built and deployed high-performance web-scraping agents on the CrewAI Agentic framework to automate large-scale data collection from diverse websites with minimal maintenance overhead.
- Led and mentored a team of three PhD interns on applied AI research projects, shaping research direction and contributing to successful publications and prototypes.
- Improved a key binary classification model from 70% to 98% accuracy by introducing LSTM-based Neural network architecture and systematically tuning network design and training pipelines. Automated model retraining and monitoring by integrating Azure data-drift detection libraries, ensuring models were proactively retrained and remained robust as data distributions evolved.
- Optimized a Weaviate vector database used for large-scale retrieval by tuning HNSW indexing, memory usage, and query performance, and evaluating alternatives such as L2-norm indexing, LSH, and k-NN to improve latency and throughput.
- Applied deep learning Auto encoder-decoder architectures and TensorFlow to prototype and deploy representation-learning solutions for complex structured and unstructured data.
- Implemented an image-to-structured-data pipeline using OpenCV and YOLO to parse user-uploaded receipts, followed by spaCy-based NER, achieving ~80% field-level extraction accuracy and enabling downstream analytics.
- Developed anomaly-detection workflows using LOF and Isolation Forest, then applied DIFFI, SHAP, and LIME to interpret model outputs and provide transparent, actionable diagnostics to stakeholders.
- Designed and implemented end-to-end MLOps pipelines (CI/CD/CT) with Docker and Azure ML Studio, enabling reliable cloud deployment of ML models, achieving ~99% service availability and reducing infrastructure costs through better resource utilization.
- Containerized Django-based services with Docker and orchestrated them via Kubernetes, enabling scalable, fault-tolerant deployment of previously on-premises applications.
Sr. Software Developer (Contractor)
Samdiv Technologies Ltd. (AIB- Dublin)
- Established MLFlow + data lake infrastructure from scratch for AIB's greenfield project, enabling end-to-end experiment tracking, model versioning, and scalable data pipelines for AI development.
- Engineered multiple Django-based AI micro services as production POCs for AIB Bank, validating ML capabilities in regulated banking environments.
- Migrated Jenkins-Chef CI/CD pipelines to Jenkins-Ansible and implemented comprehensive on-premises model management (MLFlow integration), streamlining deployments and model lifecycle automation.
- Architected and delivered Spring Boot micro services for AIB's Open Banking compliance requirements, ensuring scalability, and seamless legacy system integration.
Sr. Software Developer (Contractor)
Samdiv Technologies Ltd.(Fidelity Investments Galway)
- Independently developed alpha trades/good-bad classification model using Python + XGBoost, trained and deployed to AWS SageMaker, enabling automated trade quality assessment for Fidelity Investments.
- Re-architected monolithic trading application into scalable micro services, successfully migrating and deploying all components to AWS cloud infrastructure per enterprise architecture plan.
- Designed and implemented comprehensive AWS cloud components (EC2, S3, Lambda, etc.) alongside micro services, ensuring seamless migration, zero-downtime deployment, and optimized cloud cost management.
Software Developer
Sidero Technologies Ltd.
- Transitioning monolithic application into Spring boot micro services and deploying them to AWS platform.
- Containerisation of services and their orchestration through Kubernetes.
- Rewriting computation logic using Apache Spark Streaming API.
- Transforming legacy fuzzy logic to standard AI algorithms and deploying models to the dev environment.
- Created XML feed analysis using python and Django framework.
Technical Architect
HCL Technologies Ltd.
- End to end implementation of Oauth2.0 in Digi website and handling of all issues related to that.
- End to end implementation of several REST and SOAP based web services in investment banking domain for JP Morgan and others.
- Handling complex challenges in implementing the same.
- Run time performance evaluation on several parameters (heap memory etc) and related fixes.
- Coaching and mentoring team of 10 Engineers.
Assistant Consultant (Tech. Arch.)
TATA Consultancy Services
- End to end integration of several applications (running on completely different platforms) using several advanced Spring integration frameworks (Ques/Channels) and design patterns.
- Big data related POCs implementations and cloud migration related task.
- Run time performance evaluation on several parameters (like heap memory etc.) and related fixes.
- Coaching and mentoring team of 8 engineers.
Sr. Software Engineer
Birlasoft Ltd.(GE Finance)
- Modifying existing software to correct errors, allowing it to adapt new functionality, or to improve its performance using scientific analysis.
- Implementing best practices and coding standards through design patterns.
Sr. Software Engineer
Infosys Technologies Ltd.
- Converting algorithmic functions into programming codes
- Analysing programs to understand logic for missing functions.
Software Engineer
Indiagames Ltd.
- Coding (through several R & D techniques) for multi- threaded environment.
- Reducing time delay in the wireless network by separating/ overlapping several processes/threads (Multithreading) as and when required.
Application Developer
VRG Electronics Ltd.
- Coding (through several R & D techniques) for multi-threaded environment.
Industry Experience
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Experienced in Information Technology, Banking and Finance, Retail, and Manufacturing.
Business Area Experience
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Experienced in Information Technology, Business Intelligence, Product Development, and Research and Development.
Summary
➤ 19+years of IT experience (including last 6+ years in AI specially) across many countries India (7.5), Singapore(2.5), US(1), UK(1) & Ireland(9).
➤ Technological forte is Python / AI / ML-Ops / Agentic Framework / RAG / LLM with Azure & AWS.
➤ My Technical Qualification (Bachelor of Technology in Computer Science & Eng.) as well as MS (in AI & Software Design) together with Post Graduation Diploma in IT Systems Mgmt. (equiv. To PGDITM /MBA) gives me firm foundation in understanding requirements from customer/business point of view and finding their solid technical solutions.
➤ Being strong believer of "Lifelong learning", I completed MS in Artificial Intelligence from TUS- Technological University of Shannon (AIT) Athlone Westmeath in 2021.
➤ Worked with leading global brands in several domains such as Investment Banking (UBS-AG Swiss Investment Bank), Retail Banking (GE Money SBI of India), Retail (Walgreens Co. & BestBuy of USA and Screwfix of UK) and Travel & Shipping (Maersk Line), LM Ericsson (Telecom), Fidelity & AIB in Ireland.
➤ Immediate Availability. Holding Irish Passport / Citizenship.
Skills
- Ml-Ops / Dev Ops
- Ci / Cd / Ct
- Ml Flow
- Azure Pipeline Libraries
- Langraph
- Langsmith
- Llm - Ollama(Llama2)
- Lstm
- Clustering
- Neural Network (Encoder Decoder) - Rnn & Cnn
- Hadoop - Map Reduce
- Pig
- Hive
- Apache Spark Streaming
- Mqj Explorer
- Maven
- Open Ldap
- Uml
- Tomcat
- Weblogic
- Linux Unix (Shell Scripting)
- Load Runner
- Jprofiler Heap Dump Analysis
- Aws
- Azure Ml Studio
- Azure Ml Studio Pipeline
- Intellij
- Eclipse
- Aws Cli
- Azure Machine Learning Studio
- Ec2
- S3
- Dynamo Db
- Lambda
- Sqs
- Sns
- Ses
- Ai Sagemaker
- Kinesis Streams
- Cloud Formation
- Regression & Classification Algorithms
- Nlp
- Opencv
- Yolo3
- Weaviate Vector Database
- Feature Engineering (Using Feast In Azure)
- Junit
- Mockito
- Selenium
- Tdd (Test Driven Development)
- Behaviour Driven Development (Bdd) - Cucumber
- Jenkins
- Kubernetes
- Docker
- Ansible
- Prometheus
- Grafana
- Kafka
- Zuul Api Gateway
- Eureka Registry
- Pycharm
- Tensor Flow
- Anaconda (Spyder/Jupiter)
- Spacy
- Mqseries
- Node Js
- Ejb (1.1/3.0)
- Oracle Plsql
- Triggers
- Procedure
- Functions
- Packages
- Dynamo Db
- No Sql
- Graph Db
- Neo4j
- Plsql Dev
- Springboot Micro Services
- Restful (Jersey And Cxf)
- Enterprise Service Bus (Alsb)
- Soa Arch.
- Django
- Flask
- Java1.7/8
- Json Web Token (Jwt) Auth.
- Oauth 2.0
- Jaas / Saas
- Restful
- Soap Ui
- Oracle Alsb
Languages
Education
TUS - Technological University of Shannon
M.Sc in AI and Software Design · Artificial Intelligence · Athlone, Ireland
Ideal Institute of Technology, Ghaziabad
Bachelor of Technology · Engineering · India
All India Management Association
Post Graduate Diploma in IT and Systems Mgmt. · IT and Systems Mgmt. · New Delhi, India
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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