Help & Supportcareers@gravityer.com
Tech @ General Mills | ex-intern: AI4Bhārat IIT Madras & UST Global | SIH '22 Winner | PICT CE '24
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Currently a Software Engineer at General Mills, I focus on building scalable and efficient software solutions. My background combines practical backend development experience with a deep dive into AI and Deep Learning through academic research and internships. I'm passionate about leveraging emerging AI, like LLMs and agentic systems, underpinned by robust backend infrastructure, to create impactful end-to-end applications.
Pune Institute of Computer Technology
Bachelor of Engineering - BE
August 1, 2020 – May 1, 2024
Modern Education Society's Nowrosjee Wadia College Arts, Science, Pune 01
Junior college
July 1, 2017 – March 1, 2020
The Bishop's School, Pune
High School Diploma
June 1, 2008 – May 1, 2017
General Mills
Software Engineer
July 1, 2024 – Present
Mumbai, Maharashtra, India · Hybrid
AI4Bhārat
Backend Intern
August 1, 2023 – February 1, 2024
PICT CSI Student Branch (PCSB)
Machine Learning Head
May 1, 2023 – May 1, 2024
Pune · On-site
UST
Machine Learning Intern
November 1, 2022 – February 1, 2023
Pune, Maharashtra, India · Remote
Pune Institute of Computer Technology
Research Intern
June 1, 2022 – July 1, 2022
Pune, Maharashtra, India · On-site
Kode IT Solutions
Web and App Development Intern
August 1, 2021 – December 1, 2021
PAN and Aadhar verification and classification using Machine Learning
July 1, 2022 – Present
• This Project won the Smart India Hackathon 2022 • The objective of the project was to automate the verification of Aadhar and Pan card using Machine Learning. This task was primarily completed manually by all the organizations and hence required considerably more time • For the machine learning model we trained a custom YOLO V5 multi-label classifier for the visual verification of Pan and Aadhar • For data extraction we used a combination of EasyOCR and Tesseract which was fine-tuned using Pan number's dataset. REGEX was used to extract useful information. • The ML model was deployed as a micro-service. The entire system was implemented through a dockerized web app. • This webapp had multiple multiple feature like bulk automation, facial recognition based user authentication, admin console, email OTP service, etc.
Professional Cloud Architect Certification
June 25, 2026 – Present
Supervised Machine Learning: Regression and Classification
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from ML-focused solutions to backend development and distributed systems, indicates adaptability and a broad technical interest. The 'Machine Learning Head' role at a student branch suggests a willingness to contribute to a technical community and mentor others. The target role of ML Engineer aligns well with the candidate's project experience in ML, computer vision, and MLOps. However, the lack of diverse team or company culture exposure beyond internships and academic projects limits a comprehensive cultural fit assessment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate problem-solving skills (automating manual verification, devising backup systems) and a proactive approach (adding fail-safe mechanisms, notifications). Mentoring experience suggests leadership and communication abilities. The Smart India Hackathon win demonstrates teamwork and innovation under pressure. However, without specific psychometric or English test results, a deeper assessment of soft skills and operational fit is limited.