Dec 2025 – Apr 2026 · 4 mos · Remote

• Completed the Prompt Academy Fellowship by Mercor — a self-paced program focused on advanced prompting, evaluation, and alignment of large language models.
• The fellowship complemented my work in RLHF-based LLM training by deepening practical understanding of:
• prompt design and optimization
• failure modes and edge-case handling
• instruction tuning and response evaluation
• responsible and reliable LLM behavior
• This experience strengthend my ability to bridge model behavior, user intent, and real-world AI application.

Nov 2025 – Present · 6 mos

• Lead a 25-member AI research and annotation team, improving task calibration, inter-annotator agreement, and review workflows, resulting in a 30% increase in throughput and 20% faster review cycles.
• Train, evaluate, and fine-tune large language models (LLMs) using reinforcement learning with human feedback (RLHF) to improve clinical accuracy, reasoning depth, and response reliability.
• Conduct comparative evaluations of baseline vs fine-tuned LLMs, assessing factual accuracy, instruction adherence, reasoning quality, and safety using structured rubrics and scoring frameworks.
• Own weekly model benchmarking and evaluation reports, tracking accuracy, consistency, error rates, and failure modes to guide data-driven fine-tuning and prompt optimization.
• Identify recurring failure patterns, hallucination risks, and edge cases, translating insights into actionable recommendations for instruction tuning, dataset refinement, and model alignment.
• Develop domain-specific rubrics, prompt evaluation frameworks, and QA guidelines, ensuring evidence-based, high-precision outputs aligned with healthcare and regulatory standards.
• Support deep research workflows, including literature synthesis and validation of model responses against authoritative medical and public health sources.
• Contribute to STEM deep research initiative, aligning AI outputs with real-world healthcare use cases and measurable research quality benchmarks.

Oct 2025 – Oct 2025 · 0 mo

• Conducted advanced healthcare data analytics and model evaluation for AI systems in clinical research and epidemiology.
• Designed structured rubrics and health data pipelines that improved the accuracy of AI-driven predictions.
• Collaborated with interdisciplinary teams to ensure data ethics, bias mitigation, and evidence-based validation for healthcare model deployment.

Nov 2025 – Present · 6 mos

• Lead ShriPath, an educational consulting platform helping professionals and students strengthen their academic and career portfolios.
• Provide personalized resume writing, LinkedIn optimization, and interview preparation services to enhance client visibility and job readiness.
• Conduct mock interviews and LinkedIn branding workshops, empowering participants to improve placement outcomes and professional confidence.
• Guide clients in cover letter writing, referral development, and career positioning, ensuring alignment with global hiring and networking standards.

May 2025 – Oct 2025 · 5 mos

• Directed the design and execution of large-scale community-based health programs impacting over 10,000 beneficiaries.
• Developed data collection, monitoring, and evaluation systems that improved reporting accuracy by 35%.
• Applied epidemiological and data-driven methods to analyze community health trends and inform evidence-based policy decisions.
• Engaged with funders, local authorities, and NGOs to align health initiatives with regional priorities and sustainable impact goals.

Oct 2024 – Oct 2025 · 1 yr · United States · On-site

• Provided strategic leadership for the research and data analytics division, overseeing projects that strengthened health communication and outreach by 30%.
• Supervised an 8-member research team, fostering skill development and cross-disciplinary collaboration.
• Developed evidence-based policy briefs and presentations adopted by partner organizations.
• Promoted integration of AI analytics, health systems research, and behavioral data insights to improve community program outcomes.

Mar 2024 – Oct 2024 · 7 mos · United States · On-site

May 2022 – Oct 2022 · 5 mos

• Supported global projects in pricing, reimbursement, and market access (PRMA) for healthcare and pharma clients.
• Conducted systematic reviews, HTAs, and cost-effectiveness analyses to inform payer and policy decisions.
• Developed value dossiers and health economics models using Excel and Power BI, integrating clinical and economic data to optimize market access strategies.

Jul 2021 – Dec 2023 · 2 yrs 5 mos · On-site

• Led data validation, analysis, and epidemiological modeling for multiple institutional research projects. -Utilized SAS, Excel, and Power BI to enhance data reliability by 40% and reporting consistency across departments.
• Supervised a 10-member analytical team to strengthen research design and output quality.
• Delivered findings to institutional committees and policymakers, informing strategies for disease surveillance and community health planning.

Dec 2020 – Jul 2021 · 7 mos

• Developed and maintained real-time COVID-19 mortality and surveillance dashboards, reducing data lag by 30%.
• Managed over 35 data requests, ensuring 100% accuracy and on-time delivery for local and state reporting.
• Analyzed health trends and presented actionable insights to leadership, contributing to improved pandemic response and vaccination rollout strategies.

Oct 2020 – Dec 2020 · 2 mos

• Automated campus-level COVID-19 data pipelines and dashboards using Salesforce and SAS, increasing processing speed by 45% and reducing manual entry errors by 60%.
• Developed predictive analytics models to forecast outbreak patterns, enabling faster institutional responses.
• Designed and maintained a real-time data portal accessed by 1,500+ stakeholders to support health and safety decisions.

Jul 2020 – Nov 2020 · 4 mos · Raleigh-Durham-Chapel Hill Area

• Streamlined statewide COVID-19 data processing and visualization systems by developing automated SAS programs, cutting request turnaround time by 50%.
• Provided epidemiological consultation to 20+ county health departments, improving surveillance and reporting workflows.
• Built interactive dashboards integrating county-level data to enhance transparency and policy planning across public health agencies.

Nov 2019 – May 2020 · 6 mos

• Coordinated end-to-end research project management activities, including proposal development, grant writing, and donor communication.
• Supported fundraising initiatives and budget administration, ensuring timely project delivery and compliance with funding requirements.
• Collaborated with academic and institutional stakeholders to streamline workflows and reporting processes.
• Designed infographics and data visuals to communicate project outcomes and research impact to partners and funding agencies.

Aug 2019 – May 2020 · 9 mos

May 2019 – Nov 2019 · 6 mos · Charlotte, North Carolina

Oct 2018 – Dec 2018 · 2 mos

Aug 2018 – Jul 2019 · 11 mos

Oct 2015 – Feb 2018 · 2 yrs 4 mos · Auarngabad

Sep 2015 – Oct 2016 · 1 yr 1 mo · Aurangabad Area, India