Principal Engineer North America

Rohan Sharma

*****.********@*****.*** 980-***-**** Charlotte NC

Professional Summary

Dynamic and results-oriented technologist with over 20 years of experience driving business and digital transformation across North America, Europe, and Asia. A technology and business-centric professional dedicated to leveraging technology, creativity, and innovation to solve complex problems.

Adept at enhancing secure and confidential data applications, improving and re-engineering large-scale solutions with cutting-edge technology. Proven ability to manage diverse teams through all project lifecycle phases while advising senior executives on maximizing business value through transformation initiatives. Recognized for both individual and team contributions at Accenture and CIBC, and currently leading Techroit Consulting as a Principal Engineer.

Core Competencies

AI/ML & Automation: Knowledgeable in applying AI/ML technologies to enhance operational processes, improve system efficiency, and leverage automation for self-healing and autonomic capabilities.

Developed AI agents using Retrieval-Augmented Generation (RAG) models and Langchain to enable intelligent document analysis and communication.

Applied OCR techniques to extract text from images, embedding them into vector databases for semantic search and downstream tasks.

Proficient in using AI/ML frameworks like PyTorch, TensorFlow, and AWS SageMaker to enhance operational processes, streamline workflows, and improve enterprise efficiency.

Utilized OpenAI’s GPT models and LLaMA open-source LLMs to build NLP-powered tools.

Built robust data pipelines for preprocessing and transforming large datasets using platforms like Dremio, S3 with AI model integration via PyTorch, TensorFlow, and AWS SageMaker.

Built and maintained scalable data pipelines for cleaning and transforming raw data, which was later integrated with tools like Dremio for analytics and AI processing.

Leveraged Gen AI and ML models to streamline workflows, optimize business operations, and enhance data-driven decision-making across large financial institutions.

Demonstrated strong knowledge of deep learning architectures, including Transformer-based models, Retrieval-Augmented Generation (RAG) models, adversarial model techniques and regression models for various enterprise applications.

Designed agentic AI systems using RAG models and LangChain, incorporating OCR-based image data extraction and vector embedding for semantic search and document analysis.

Technical Skills

Programming Languages: Python, Java, Node.js, C, C++

UI Development: Expertise in microservices applications using React and AngularJS

Cloud Technologies: AWS, Kubernetes, Infrastructure as Code (IaC)

Database Solutions: Oracle, MongoDB, S3,Pinecone,CromaDB

AI/ML Technologies: MLOPS, TensorFlow, AWS SageMaker, Hugging Face, Jupyter, Vector Databases, OpenAI-GPT models

Architecture & Design: Enterprise architecture, CI/CD best practices, secure application development

Education

Bachelor of Engineering (B.E.)

Thapar Institute of Engineering and Technology

Post Graduate Diploma in IT (MBA-IT)

Symbiosis

Certifications

AWS Certified Architect

TOGAF Certified Architect

Java Certified Developer

Professional Experience

Techroit Consulting Llp March 2014 To Present

Principal Engineer

Independent consultant for major financial clients, including RBC, TD Securities, and HSBC.

Microservices Architecture on Kubernetes & AWS:

Designed and implemented micro-services-based solutions deployed on Kubernetes clusters, leveraging AWS EKS for orchestration. Enabled horizontal scaling, resiliency, and service isolation to meet high availability and performance SLAs for Big Data pipelines.

Critical Issue Resolution: Conducted performance tuning for legacy architectures while devising migration road-maps, extending system viability and facilitating smooth transitions to cloud environments.

AI Technology Solutions: Understanding of AI/ML technologies (e.g., PyTorch TensorFlow, AWS SageMaker) to improve operational processes, streamline workflows, and enhance enterprise performance. Built data pipelines to clean and transform data which is fed to Dremio.

RAG Models and Vector Databases/AI Agents: Create Agentic AI using RAG models and langchain for communication, data analysis from documentation. Image data extraction through OCR and conversion to text for vector embedding. Deep understanding of deep-learning models and their architecture e.g. Transformer architecture, RAG models LLM, regression models. Expertise on using openAI GPT models, open-source Llama LLM models using prompts and tools. Fine Tuned model responses using evals and batch jobs.

Cross-Organizational Alignment: Led the integration of multiple organizations for Continuous Linked Settlement (CLS) on Murex, facilitating a blueprint for onboarding that enabled multi-billion-dollar daily FX transactions.

Timely On-boarding: Successfully on-boarded a bank for same-day FX settlements, aligning technology and business stakeholders to resolve integration issues, allowing the bank to settle up to $10 billion in daily transactions.

Cloud Settlement Repository: Spearheaded the establishment of a cloud-based settlement repository by coordinating technical specifications and migration strategies, ensuring business alignment and overcoming technological challenges.

Enterprise Solution Blueprinting: Developed comprehensive blueprints for migrating monolithic systems to distributed architectures on Kubernetes, enhancing scalability and resilience.

Innovative SaaS Solutions: Designed and implemented a SaaS platform that empowered business analysts to define transformation log. Analysts continue to use excel to define transformations process. Solution ingested the excel to carry out transformations and store data in parquet files in S3.

Senior Manager, IT Consulting Organizations 2004 – March 2014

Progressed through roles at Infosys, Accenture, IBM, and Synechron, culminating in a Senior Manager position.

Project Leadership: Led teams to develop intelligent interfaces that effectively resolved reconciliation issues across various sectors, including banking and telecommunications.

Technological Integration: Implemented critical authentication enhancements for mobile platforms, ensuring seamless integration with Single Sign-On solutions.

Expert Guidance: Served as a Subject Matter Expert (SME), guiding teams in the adoption of new technologies and establishing redundancies for critical processes.

Innovations And Achievements

Cloud Migration Strategy: Designed and executed cloud migration strategies that transformed legacy systems into scalable, cloud-native applications, significantly reducing costs and enhancing performance.

Process Optimization Algorithms: Developed algorithms for reconciliation processes, minimizing operational bottlenecks and improving the accuracy of financial data.

SaaS Implementation: Pioneered a SaaS solution that enabled non-technical users to define and modify operational processes, enhancing productivity across business units.

Effusion Cell Design: Prepared a computer-aided design of an effusion cell for Molecular beam epitaxy presented at a national seminar, showcasing the application of advanced instrumentation.

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