May 2025 – Jul 2025 · 2 mos · Bengaluru South, Karnataka, India · Remote

• 1) Developed modular, memory-augmented LLM pipelines using DSPy and mem0, enabling tool-based reasoning, long-term retrieval and document generation at scale.
• 2) Deployed end-to-end AI solutions for enterprise use cases, integrating model fine-tuning, semantic memory and structured feedback loops.
• 3) Achieved a 40% improvement in enterprise workflow accuracy by deploying scalable, feedback-driven AI agents.

Oct 2024 – Jan 2025 · 3 mos · Gurugram, Haryana, India · Remote

• 1) Engineered a hybrid ensemble model that integrates a finely tuned XGBoost and CNN, leveraging a weighted
• probability averaging technique to boost predictive performance and achieve an accuracy of 97%.
• 2) Implemented advanced image pre-processing methods, including median blur and Total Variation (TV)
• Denoising via OpenCV, to enhance image quality and reduce noise in medical imaging data.
• 3) Facilitated cross-functional collaboration between technical and medical teams through bi-weekly meetings.