Embedded Quant Trading & GenAI Transformation Lead
Resume:
KAUSHIK CHAKRABORTY
******.********@*****.***
********@*******.***
OBJECTIVE
Seasoned IT professional (21+ years) with demonstrated technical leadership, product and project-management capabilities, and proficiency in data engineering, AI, and analytics, seeking a leadership Engineering or Product- management opportunity in an OEM organization or diversified business. PROFESSIONAL
EXPERIENCE
PRINCIPAL – INDUSTRY SOLUTIONS, 06/2023 - Current
Microsoft
Working as principal in large-scale data and AI transformation programs across verticals with focus on Azure stack. Key focus areas:
Spearheading agentic modernization-deliveries leveraging MAF, Foundry and IQs for healthcare, private-banking and retail/logistics use-case.
Creating accelerators in the areas of agentic data migrations and governance/evals. Accomplished quick-proto-typing of a semi-custom eval engine for a financial customer based on Rubrics scoring and telemetry.
Championing Presales and driving customer success (deals ~5-10M TCV) leveraging frameworks/artifacts such as HVE Core (Hyper Velocity Engineering Core),
Mentoring team of architects and consultants for delivery pursuits (20-40). SR. PRINCIPAL ARCHITECT, 07/2023 - 06/2023
Unisys
Unisys embarked on a GEN-AI adoption/monetization drive in early '23 and as a lead architect of this transformation program, I managed a team of ~15 (developers + principals) in fleshing out a variety of point-solutions targeted at various verticals.
Design and development of UIA (Unisys Intelligent Accelerator), an E2E platform for GEN-AI augmentation that works across clouds and on-premises.
PEFT, RLHF, DPO based finetuning of LLMs and SLMs for text-2-sql and NER use- cases.
Medical chatbot, powered by UIA, using RAG + OpenAI + Azure AI Search – piloted for multiple healthcare-sector accounts.
Spearheaded multiple RAG & CoPilot solutions for dev-secops (with ServiceNow integration).
Drove critical partnerships with Predibase, Baseten. AISERA.
Responsible-AI solution based on Ragas + langkit.
Snowflake & Databricks AI – delivered solutions for insurance domains.
Solutioned Data-mesh & Data-activation (hightouch) suites and led engagements with Collibra, Delphix, Boomi.
Delivered contact-center solution for BT (RAG on Genesys-cloud & AWS).
Spearheaded Sovereign AI initiative with Dell-AI /NVIDIA NIM, NeMo suites.
Multiple agentic use-cases using Power Automate and SAP/Salesforce integrations.
Private-AI ecosystem solutioning on top of Ollama & VLLM.
Kubernetes & Raffay/Rancher based devops/infra.
Drove large GEN-AI adoption/transformation in SDLC across BUs (requirements, vibe coding, CI/CD).
Spearheaded novel application of gen-ai in building data mgmt. accelerators.
Designed and developed an LLM-based legal/policy chatbot platform.
Partnered and integrated Mobeus digital twin in UIA stack ( Nvidia ASR,audio2face)
Partnered with product, sales & Infra teams for GTM facilitation.
Handled bids/RFPs across verticals. Consulted for a large initiative for a EU Police Force in modernizing their analytics system ( vLMs and knowledge-graphs for investigative-aids) and code-synthesis for upgrading interface systems.
Modernized a major airlines aggregator’s OMS system via AI infusion,
Received CA&I recognition in 2024 for contributions in AI initiatives and championed org.-wide AI charter. Panelist for https://www.unisys.com/unisys- innovation-program/. Received multiple recognitions for architecture-contributions and TCV uptick ~20+ M.
PRINCIPAL ARCHITECT – AI, 06/2022 - 06/2023
Icertis
Responsible for modernization of AI-stack which exposed API for extraction & discovery of entities and clauses & obligations from a complex legal contract.
Instrumental in upgrading legacy models to NLP specific deep-learning suite (LSTM- CRF based NER, legal-BERT variations for clause and obligation recognition).
Adoption of Azure cognitive (Form-recognizer) and Azure ML studio
(Labelling/Annotation).
Architecting E2E MLOPS capability on top of Azure MLOPS SDK-V2 with custom integration.
Data-lake enrichment pipelines (cataloguing, tagging) and ES-based semantic search implementation.
Exploratory R&D on weak-supervision (Snorkel), Auto-ML for doc. classification and digitization.
GEN-AI adoption, advanced prompt engineering, finetuning (PEFT) and RAG with pinecone vector-DB.
Icertis is a leading SaaS provider for AI-infused contract lifecycle management and intelligence.
DIRECTOR, 01/2021 - 04/2022
Athenahealth
Drove enterprise architecture for a suite of Athena products through this inflection.
Data Lakehouse consolidation on top of Snowflake as warehouse and cloud native (DMS, Glue, Athena, Quicksight) and 3rdparty Insight tools (Druid, Pinot, plotly, atoti).
Medical AI use-cases roll-out (telehealth, entity resolution, chronic care/population cohort analytics, digitization) using inhouse & cloud solutions (Rekognition, Transcribe-medical, clinical knowledge graph).
Evangelization and implementation of data-engineering best practices (CDC, data-quality, reliability, governance) and MLOPS framework and culture (MLflow, Feast, Databricks).
Migration of on-prem Perl-based + Azure based legacy (dotnet) monoliths to modern AWS native consumer platforms (Glue, Aurora, FastAPI, react, redux, ECS, GraphQL, FHIR works, Azure Data Fabric, EventBridge, Event Grid).
Responsible for people development, engineering standards, processes, and culture (hackathons, offsites), R&D.
US Healthcare were undergoing rapid novation towards a consumer-centric value- based care (VBC) model.
Target 03/2018 - 10/2019
PRINCIPAL ENGINEER DATA SC. & OPTIMIZATION, 01/2019 - 10/2019
Worked as principal for integrated AI engineering organization known as EDABI
(Enterprise Data and Business Intelligence).
Contributed to AI driven re-engineering for retail use-cases (inventory management, product categorization, dynamic pricing, digitization, personalization).
Foundational work for in-house MLOPS and RAI-XAI framework. DIRECTOR DATA ENGINEERING, 03/2018 - 01/2019
Worked as director in chartering & roll-out of Target's multi-echelon supply chain modernization journey.
Ramped up a data engineering team of ~25 in Bangalore, Sunnyvale, and catapulted engineering capability for IPC (Inventory planning and control) suite of applications.
Supported aggressive business needs for use-cases such as network-planning, truck-load optimization, perishable inventory handling etc.
Designed and delivered caching middleware on Rust.
Modernized applications via evolving storage and computing (Spark, Stream processing, Ceph) and robust CI/CD (K8S, Drone, Terraform).
Delivered inter-cloud app. and data migrations (Openstack, Heroku, GCP, Azure). SENIOR MANAGER – CORP. FINANCE/BIG DATA, 08/2016 - 10/2017 Paypal
Decommissioned legacy post-transaction funding cost and loss-calculation engines from Teradata/HANA to Hive and Spark-SQL (HortonWorks distribution).
Implemented integration-strategies for PP-wide initiatives like Stored-value, Tokenization, Braintree-on-boarding related feeds into the middle-office Datalake
(Kafka, Flink, Spark).
Implemented PySpark workflows for FP&A (financial planning and analysis) models and low-latency hi-volume regulatory-reporting and tuning/optimization for the same.
Instituted delivery model, Devops and Governance (Rally based).
Grew and managed six delivery teams (of ~8 members) to support middle and back-office functions and catapulted the capacity into Big-data geo-practice
(San Jose + Chennai).
Bootstrapped a delivery-unit (35+) from the ground up. TECH. LEAD - BIG DATA & MC-LEARNING, 03/2015 - 06/2016 AMERICAN EXPRESS
Worked as architect/manager in BIG-DATA roadmap reengineering initiative.
On-premises data warehouse (“Cornerstone”) build-up on top of MapR Hive with discovery, cataloguing, data-governance, lineage, and data-quality features.
Revamping legacy campaign and risk systems and onboarding onto big-data platform.
Design and implementation of Java server side & UI for in-house ML-as-a-service
(REST, Angular based).
Ported logistics, KNN, SVM, EM and ANN-based-calibration models into the framework.
Designed and implemented API contracts between RESTful endpoints for ML workflow management and built capabilities like feature-store, auto-ML etc.
Realized architectural separation between core and ML services. SR. SDE BIG DATA, A.I. (CONTRACTUAL), 01/2014 - 08/2014 Amazon
Revamped retail-catalogue platform (legacy stack) to AWS-native solution (EMR, S3, CloudFormation, Elasticsearch, CloudWatch, CloudFront).
Developed server-side components for distributed feed ingestion using Java 1.8 NIO, async & stream-collectors.
Contributed to initial prototypes for online-connectivity with standards-based catalogue-networks like GDSN and PRICAT/EDI.
Introduced messaging-based reconciliation loops in the pipeline.
Worked on first cut of item-item item-item CF (Collaborative Filtering) based recommendation system.
Flink based CEP system for data quality automation. 01/2001 - 12/2014
Worked in various ivy-league investment banks like Lehman Brothers, Barclays Capital, Standard Chartered, Royal Bank of Scotland in VP/AVP capacity building full stack trading engines (pricing and risk management of fixed income & exotics, market & credit risk platforms, algo-trading, and DMA space) with design paradigms and performance/scalability like Flink or Apex. Was instrumental in bootstrapping delivery units which spearheaded large IT-transformation projects for ivy-league trading desks (strategy/roadmap, research, architecture & delivery, budgeting, partnerships, and M&A),
Prior to that I built worked in embedded systems and was in core team that delivered first prototype of Digital-Level solutions ( https://leica-geosystems.com/en-in/products/levels/digital-levels). EDUCATION
NUS (National Univ. of Singapore), 01/2003
M.S: High Performance Computing
GPA: CPA 8.7/10.0 (1st class Honors)
IISC (Indian Inst. Of Science), 01/2001
M. Tech: Comp. Sc. & Engineering
GPA: CGPA 8/10.0 (1st class Honors)
Jadavpur Univ., 01/1998
B. Tech: Electrical Engineering
GPA: 78% (1st class Honors)
CERT./AWARDS
Databricks GEN-AI, 12/01/23
AWS Cloud Technical Essentials – Coursera, 12/01/23
Best Performance/ Team award in Unisys, American Express
A.I.R 55 in Gate-98
WORK PERMITS
Indian Citizen
#HRJ#ef01e18b-dca4-44a4-9 f03-44da65 090497#
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