Headline

Data Scientist @ Bosch CR | Machine Learning Engineer | LLMs | Computer Vision | GenAI | Gymkhana General Secretary, Students Council, IISc | KVPY Fellow | NTSE Scholar

About

I’m an ML Engineer focused on ownership-driven delivery—from problem framing and stakeholder alignment to production-grade implementation, benchmarking, and rollout. My work spans LLMs/Transformers, RAG systems, Knowledge Graphs, and Computer Vision. At Bosch, I’ve owned MoMo model monitoring for AOI (OOD/drift detection, SHIFT sequential alerting, and heatmap explainability validated across plants) and driven Neural Architecture Search (NAS) initiatives to optimize multi-task perception models for edge/SoC deployment (two-stage NAS, pruning/quantization, Azure + Docker workflows). I regularly present results and trade-offs to customers/stakeholders, collaborate across multi-location teams, and maintain high engineering standards through CI/CD, testing, and clear documentation.

Location

Bengaluru

AI stack

claude

deepseek

gemini

github copilot

huggingface

ChatGPT

Work experience

Senior Data Scientist at Bosch Research, Dec 2023 - Present · 2 yrs 10 mos, Bangalore Urban, Karnataka, India, •Owned delivery of a NAS PoC scaled into a full project, enabling faster and more flexible deployment of multi-task CNNs across multi-vendor SoCs. •Implemented two-stage NAS (BigNAS-inspired) with weight sharing/entanglement and used Evolutionary Algorithms for model selection under accuracy–latency–memory constraints. •Delivered ~80% reduction in supermodel training and model-integration time via GPU compatibility and graph-mode execution; improved SoC transfer using QAT. •end-to-end delivery of MoMo model monitoring for AOI: OOD/drift benchmarking with SHIFT sequential alerting and heatmap-based explainability, validated across multiple plants. •Partnered with customers/plant stakeholders to interpret drift results, communicate root causes, and drive corrective actions; delivered regular presentations and result walkthroughs. •Built a diffusion-based synthetic defect generation workflow (DragonDiffusion-based editing) and an internal wrapper repo for standardized, reproducible data generation aligned with stakeholder defect requirements. •Maintained delivery excellence through Azure + Docker reproducible training setups and strong engineering practices (CI/CD, tests, linting, documentation/KT).

Data Scientist at Bosch Research, Aug 2022 - Feb 2026 · 3 yrs 7 mos, Bengaluru, Karnataka, India, •Owned end-to-end delivery of a Toyota-facing multi-task CNN demo under a tight deadline, aligning stakeholders and delivering a successful outcome that supported acquisition. •Designed and implemented Neural Architecture Search (NAS) to optimize the efficiency–accuracy trade-off for Gen3Evo camera deployment constraints. •Achieved ~18% runtime reduction while maintaining or improving task performance.

Machine Learning Engineer at Mindtree, Apr 2022 - Jul 2022 · 4 mos, Bengaluru, Karnataka, India, •Implemented and evaluated quantum circuits/algorithms using Qiskit, building practical proof-of-concepts. •Implemented Transformer Hawkes Process (THP) for neural temporal point processes, validating on public datasets and exploring extensions.

Founding Chief Coordinator & Pro-nite Coordinator at Rhapsody, IISc, Oct 2021 - Jun 2022 · 9 mos, Bengaluru, Karnataka, India, • One of the founding Chief Coordinators for Rhapsody (IISc)—helped start the fest and drove end-to-end planning and execution across organizing teams. • Served as Pro-nite Coordinator, planning and executing flagship night events through cross-team coordination and on-ground operations. • Designed the official Rhapsody emblem/logo that continues to be used for the fest. • Coordinated with multiple stakeholders (student committees, vendors, and institute teams) to align requirements, resolve issues quickly, and ensure smooth delivery.

Gymkhana General Secretary (Elected) at Indian Institute of Science (IISc), Jun 2021 - Jun 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India, • Elected as Gymkhana General Secretary, owning end-to-end operations and governance for 30+ student clubs across sports and cultural activities. • Managed operations for a vibrant 5000+ student body (exceptionally talented research scholars), enhanced student engagement, and represented student interests to the administration. • Expanded the campus ecosystem by launching new clubs including Handball and Dodgeball, improving participation and variety of activities. • Organized the first inter-department tournament with 1000+ participants, coordinating planning, scheduling, venues, and execution with multiple stakeholders. • Initiated multiple intra-college tournaments, building recurring formats and systems to sustain engagement. • Strengthened the sports and cultural environment on campus through consistent event programming and club enablement.

Research Intern at Materials Engineering IISc, Apr 2020 - Jul 2022 · 2 yrs 4 mos, Bengaluru, Karnataka, India, • Research project under Prof. Surendra Kumar Makineni (IISc) on microstructural engineering of a medium-entropy NiCo(CrAl) alloy to enhance room- and high-temperature mechanical properties. • Co-authored a published research paper: “Microstructural engineering of medium entropy NiCo(CrAl) alloy for enhanced room and high-temperature mechanical properties” (arXiv: 2109.08894, 2021). • Owned the experimental work end-to-end: thermomechanical processing, heat treatments (incl. ~700°C regime), and microstructure–property correlation through systematic iteration. • Performed hands-on characterization using SEM, TEM, EBSD, APT, and XRD, and carried out mechanical testing to link microstructural evolution to performance. • Key outcomes reported in the work include strong strength–ductility and high-temperature strength retention (e.g., ~1030 MPa YS with ~32% elongation at room temperature; ~910 MPa at 670°C).

Education

Master's degree, Indian Institute of Science (IISc)

Bachelor's degree, Indian Institute of Science (IISc)