Professional Overview
Hi, I’m Aditya. I come from a Computer Science background and I enjoy solving technical problems, especially around backend systems, automation, and AI-driven solutions. I’ve worked on projects involving APIs, Python scripting, and data workflows, LLM and RAG. I like writing clean code, learning fast, and adapting to new technologies.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed and optimized production-grade LLM pipelines using Python
- Engineered advanced Prompt Engineering strategies (Few-shot, Chain-of-Thought)
Key Achievements / KPIs
- Reduced model response latency by 15% through prompt optimization and efficient
- Successfully automated 40% of manual data entry tasks by deploying a custom NLP
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed and optimized production-grade LLM pipelines using Python
- Engineered advanced Prompt Engineering strategies (Few-shot, Chain-of-Thought)
- Collaborated with cross-functional teams to integrate AI capabilities into exist
Key Achievements / KPIs
- Reduced model response latency by 15% through prompt optimization and efficient
- Achieved a 20% improvement in task-specific accuracy
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Annotated high-quality datasets for NLP , ensuring 95% accuracy.
- Utilized SQL to query large-scale databases and validate consistency .
- Collaborated with ML engineers to refine annotation guidelines based on edge cas
Key Achievements / KPIs
- Increased annotation throughput by 20% by developing custom Python scripts
- Successfully delivered a 50k-row verified dataset
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
