Anushka Dadhich

Operations Associate

Pune, Maharashtra, India1 yr 8 mos experience

Key Highlights

Secured 7th rank in Inter IIT Tech Meet 12.0
Developed AI/ML inference pipelines at NVIDIA
Leadership roles in multiple student organizations

Stackforce AI infers this person is a Software Engineer with a focus on AI/ML and student outreach.

Contact

Skills

Core Skills

LeadershipCommunicationSocial MediaMedia RelationsEntrepreneurshipMarketingAutomationSystem On A Chip (soc)Public Speaking

Other Skills

Team ManagementPlanning & ExecutionEvent PlanningSocial Media MarketingSocial Media CommunicationsMediaLinkedInLinkedIn MarketingLinkedIn AdvertisingSocial Media OutreachEducational OutreachPublic OutreachMedia OutreachWritten CommunicationPresentations

About

Dynamic and ambitious, I am Anushka Dadhich, currently pursuing my B.Tech in Computer Science and Engineering at the esteemed Indian Institute of Technology, Jodhpur. I am fueled by a passion for innovation and a drive to make a tangible difference in the world of technology. My academic journey, characterized by a stellar CGPA, is complemented by hands-on experience in diverse domains, including data structures and algorithms, machine learning, and software engineering. Beyond the confines of the classroom, I have assumed leadership positions, currently serving as the Media and Outreach coordinator at IITJ's Placement Cell and served as Marketing Head for Prometeo’24 - IITJ's technical and entrepreneurial fest, also lead initiatives within the Entrepreneurship Cell and the video editing and filmmaking club. My achievements, such as securing the 7th rank in the Inter IIT Tech Meet 12.0 and receiving accolades in prestigious competitions, underscore my ability to excel under pressure and deliver results. As I embark on new challenges and projects, I am poised to leverage my skills, creativity, and relentless determination to drive innovation and create impactful solutions in the ever-evolving landscape of technology!

Experience

1 yr 8 mos

Total Experience

7 mos

Average Tenure

Current Experience

Office of training & placement - iit jodhpur

4 roles

Overall Coordinator

May 2025 – Present · 1 yr

Led coordination of campus recruitment and internship drives by engaging with HRs from top firms and ensuring smooth execution of processes.
Managed communication between recruiters, faculty, and students, ensuring timely dissemination of opportunities.
Oversaw a team of coordinators to streamline logistics, scheduling, and placement-related operations.
Represented the student body in official discussions with companies and the institute, strengthening industry relations.

LeadershipCommunicationTeam ManagementPlanning & ExecutionEvent Planning

Internship Representative

Sep 2024 – Aug 2025 · 11 mos

Reached out to companies and firms to bring internship opportunities for students. Handled the end-to-end process of student applications, from registrations to shortlisting, and coordinated internship drives to ensure smooth communication between recruiters, faculty, and students. Acted as the point of contact for both HRs and students during the internship process.

Media & Outreach Coordinator

Promoted

May 2024 – Sep 2024 · 4 mos

Handled the official LinkedIn page of the Placement Cell to share updates, highlight achievements, and connect with recruiters. Actively reached out to HRs and companies through LinkedIn to build partnerships and bring opportunities for students. Also managed the Instagram page to keep students updated on placement drives, deadlines, and important announcements in a clear and engaging way.

Social MediaSocial Media MarketingMedia RelationsSocial Media CommunicationsMediaLinkedIn+11

Support Team

Sep 2023 – May 2024 · 8 mos

Nvidia

System Software Engineer Intern

May 2025 – Jul 2025 · 2 mos · Pune, Maharashtra, India · On-site

Developed AI/ML inference pipelines using NVIDIA’s cutting-edge tech stack — including NIMs, TensorRT, Triton Inference Server, GStreamer, and gRPC.
Conducted in-depth benchmarking of inference results for both accuracy and performance to evaluate and compare optimization strategies.
Gained hands-on exposure to production-grade AI deployment strategies and accelerated computing workflows.
Collaborated closely with senior engineers, contributing to real-world applications at the intersection of software performance, deep learning, and platform optimization.