SKLasS considers project as a mean to achieve the desired objectives of the customers and always tried to empathise with the team/s. We summarize our project experiences as given below.
- Comprehensive framework involving prioritization, research, market-fit analysis, solution development, and sustainable adoption.
- Customized strategies and planning based on industry and company-specific needs.
- Emphasized achieving customer objectives while fostering empathy within teams.
- Built, trained, and led teams of freshers to execute AI/GenAI projects.
Key Digital Transformational Experiences
AI/GenAI Strategic Positioning & Solutioning
- Aligned ML development ecosystems with GenAI business value, accelerating 'discovery to production' processes.
- Designed GenAI adoption roadmaps, established CoEs, and developed GTM solutions.
- Delivered complex LLM solutions: multi-modal RAG, multi-lingual transcription, conversational agents, and retrieval response evaluation.
- Collaborated with Meta on Llama services, technical readiness, MVPs, and documentation.
Business Thought Leadership
- Demonstrated ethical leadership driving transformative results in LLM landscapes.
- Authored white papers on Meta’s Llama2/Llama3 and other LLMs.
- Led strategic planning and evangelization in AI domains.
End-to-End Project Implementation
- Delivered 30+ hyper-automation projects achieving measurable outcomes.
- Executed RPA and ML deployment strategies using agile and continuous training principles.
Innovative Product Development
- Spearheaded AI/ML product innovations such as iEA and iSA, leading to new customer acquisitions.
- Followed best practices like the Cupcake Model for customer-centric features.
Sustained Technical Leadership
- Established SAP iRPA and ML competencies, mentoring teams for successful project execution.
- Proposed ML CoE models for global customers; recognized for optimizing decision-making and resource ramp-ups.
- Contributed to digital learning initiatives and RFP solutions for hyper-automation and sustainability projects.
Innovation-FIRST Focus
- Drove CoE maturity models for AI/GenAI advancements in organizations.
- Advocated self-learning and adoption of emerging technologies to enhance customer project outcomes.
Key AI/GenAI/Agentic AI Solutions
- Multiagent Web Search Agent for Healthcare domain
- Research Agent for Healthcare domain
- HR Analytics platform on GenAI
- Intelligent Document Summarizer GenAI Solution
- Dynamic FAQ Generation GenAI Solution
- E-Government Online Assistant GenAI Solution
- Speech-to-Text and Audio Translation
- Image Recognition with LLaVA Models
- Employee Onboarding Optimization using Copilot/Copilot Studio
- Intelligent Engagement Analyzer (iEA)- (Shared Service AI/Analytics Product)
- L3 Conversational Chatbot handling FAQs & Data Insight
- Predicting & Optimizing Databases Consumptions- Rank Unwanted Tables to optimize Resource Consumption
- Predicting & Optimizing Resource Consumption- Classifying Users based on SQL Query Writing Efficiencies
- Auto Ticket Classification of IT Operation Incidents
- Profile Cloning using Text Analytics
- Credit Risk model to identify customer fraud rate
- Multiple Hyper-automation & ML projects across NLP & ML space
- Demand forecasting and Resource Optimization solutions using ML, etc.
This list provides few of the key AI solutions developed for industries. Please reach out for more detailed information.