May 2025 – Dec 2025 · 7 mos · Hoboken, New Jersey, United States · On-site

Apr 2024 – Dec 2025 · 1 yr 8 mos

• Optimized data workflows, enhancing efficiency by 20% through automation. Designed and deployed scalable solutions within distributed computing environments to improve operational safety and speed. Collaborated with cross-functional teams to develop automated dashboards, enabling real-time data access for stakeholders.

Jan 2023 – Apr 2024 · 1 yr 3 mos

• As a Software Engineer at Infosys, I automated workflows to improve operational efficiency by 15% and collaborated with stakeholders to design scalable systems, enhancing reliability and user experience. I resolved technical issues in distributed environments, reducing downtime by 10%, and optimized system performance using advanced tools and frameworks.

Oct 2022 – Jan 2023 · 3 mos

• As an Operation Executive at Infosys, I developed skills in project management and worked as an Order Manager, coordinating and overseeing order processes to ensure efficient and timely delivery.

Jun 2022 – Sep 2022 · 3 mos

• As an Operations Executive - Trainee at Infosys, I gained foundational knowledge in computer systems, networking, databases, Windows administration, and Windows Server management, building a strong technical base for IT operations.

Dec 2023 – Mar 2024 · 3 mos · Pune District, Maharashtra, India · Remote

• During my tenure as a Teaching Assistant (TA) Intern at Coding Ninjas, I undertook a range of key responsibilities to foster a supportive learning environment and facilitate students' progress in their coding journey.
• 1. Conducting Doubt Sessions : One of my primary responsibilities was conducting doubt sessions, where I engaged with students to address their queries, clarify concepts, and provide guidance on challenging topics. These sessions were instrumental in ensuring that students had a clear understanding of the material covered in their courses, fostering confidence and proficiency in their coding skills.
• 2. Debugging Codes : Another crucial aspect of my role involved debugging codes submitted by students. By meticulously analyzing and troubleshooting coding errors, I helped students identify and rectify mistakes, thereby enhancing their problem-solving abilities and refining their coding techniques. Through this hands-on support, students were able to overcome obstacles and progress in their learning journey with greater ease.
• 3. Assisting with Assignments & Projects : I played an integral role in assisting students with their assignments and various projects. Whether it was providing guidance on project design and implementation or offering feedback on code structure and optimization, I was dedicated to helping students realize their full potential and achieve success in their academic endeavors. By offering personalized support and fostering a collaborative learning environment, I empowered students to tackle complex challenges and deliver high-quality solutions.
• Overall, my responsibilities as a TA Intern encompassed not only technical assistance but also mentorship and guidance aimed at nurturing students' growth and development. It was a privilege to contribute to the learning journey of aspiring coders and to witness their progress firsthand.

Jul 2023 – Jul 2023 · 0 mo · India · Remote

• As a Data Science Intern at CodSoft, I worked on machine learning projects, gaining hands-on experience in developing and implementing predictive models to solve real-world problems.

Sep 2021 – Oct 2021 · 1 mo · Pune Division, Maharashtra, India

• As a Data Science & Business Analytics Intern at The Sparks Foundation, I worked on machine learning projects, applying data-driven techniques to solve business problems and enhance decision-making processes.

Sep 2021 – Oct 2021 · 1 mo · Pune Division, Maharashtra, India · Remote

• As a Data Science Intern at LetsGrowMore, I gained practical experience in machine learning by working on real-world projects, focusing on building predictive models and analyzing data to derive actionable insights.

Aug 2021 – Sep 2021 · 1 mo · Pune Division, Maharashtra, India · Remote

• Developed reinforcement learning-based trading algorithms, achieving performance benchmarks exceeding industry standards. Managed large-scale datasets in distributed systems to deliver scalable data solutions. Conducted research on model optimization strategies for real-world deployment.

Feb 2021 – Mar 2022 · 1 yr 1 mo · Pune Division, Maharashtra, India · Remote

• Implemented generative models in PyTorch, improving model accuracy by 15%. Applied reinforcement learning techniques for dynamic pricing, increasing revenue by 10%. Designed adaptable AI models leveraging transfer learning to improve performance across varied tasks.

May 2019 – Jun 2019 · 1 mo · Gondia, Maharashtra, India

• As a Hardware Intern at TK Computer Hub, I gained hands-on experience in CCTV installation, network setup, and computer system operations, enhancing my technical skills in hardware and networking.