In My Own Words

Transitioning professional with a strong foundation in system analysis, automation, and problem-solving. Actively preparing for Security+ certification and self-studying threat intelligence frameworks (MITRE ATT&CK, Diamond Kill Chain), OSINT techniques. I want to pursue cybersecurity because - a quest driven by my own relentless curiosity and inner passion

Journey till then

I remember the day I got my first computer. It was an AMD Processor cpu with 4gb ram and 500 HDD. I was so excited to have my own computer, I didn’t had internet connection at that time so I started practicing basic C programming taught at my school and used to play some games like Wolfenstein 3D (1992), Doom (1993), Quake (1996), Half-Life (1998), etc. I remember writing my first program (other then ‘Hello world’) in C was converting fahrenheit to celsius converter. From class 10 - 12, I did dip my toe into cybersecurity (ethical ✌hacking), learnt different vulnerabilities, how to exploit them, how to stay anonymous, etc. I was part of a group where we used to exchange knowledges, resources, etc. It was really fun times and I did get to learn a lot. Anyways after class 12 I did graduation (2016) from █████████ ██ ███████████ ███ ██████████, I was decent in studies and a true backbencher. Completed my masters in 2018 from ███████ █████████ ██ ██████████. Since I didn’t had the best marks in class 12 I was unable to sit for collage placements. I had to try off-campus. I got an internship at █████████ as a Machine learning engineer intern. At that time, I did study basic Machine learning and little bit of deep learning for interview preparation but didn’t had how it can be used to solve real world problems. Looking back, I feel I was glad that I was unable to sit for placements because here at █████████ I really did enjoyed. I had the opportunity to work on some really tough and interesting problems.

• Automated defect detection for automobile engines by developing deep learning models (CNNs), aiding clients like ████ in identifying production line anomalies and improving quality control.
• Pioneered fine-grained text-to-image generation using Attn-GAN, translating detailed descriptions into realistic images, with applications in the fashion industry (e.g., dress generation).
• Built a local language speech recognition system for Hindi-to-text conversion, leveraging call center data and translating to English via keyword matching to improve communication accessibility.

Keywords: Computer Vision, GCP, NLP

After the internship (9 Months) I took 3 months break then joined █████████ as a Machine Learning Engineer. Here I used to work inside a highly secured lab with multiple access controls. Here, I mostly worked in automation, audio analysis, IOT and computer vision problems.

• Developed a personalized chatbot using ████ for a self-service medical platform, enabling patients to answer questions, access knowledge bases, find doctors and book appointments witch was deployed in AWS.
• Designed an AI-powered calorie estimation tool for Indian cuisine, utilizing a MobileNet v2 model to provide accurate calorie counts from food images.
• Built an ”Hey Maya”voice interface for offline chatbot functionality, deploying on Raspberry Pi to enhance accessibility.

Keywords: Computer Vision, Research, IOT, AWS

During Covid was doing WFH and the period during covid was really bad. Both my parents were ill and of them was admitted to hospital. August of 2021, I resigned from █████████ and was working as a backend developer as part time for a startup called ███████████. I was mostly designing and developing APIs using ██████ ████ █████████ and also managing the deployment in AWS. I got to learn how APIs works, how to secure an API and there use cases. Here I did enjoyed development and I started looking for more permanent job in this field.

Around March 2022 I joined ███████████, as a Product Engineer. This was a health and wellness startup based in █████████. They offers services targeting conditions such as diabetes, hypertension, obesity, PCOS, and cardiovascular diseases. Their methodology encompasses personalized plans that integrate nutrition, fitness, mental well-being, and precise medical diagnostics. I was the only backend developer here and worked directly under the CTO. I mostly developed and optimized APIs using a platform called ████. I used to code using python, did the testing and production deployment in AWS.

• Designed and developed robust APIs , ensuring scalable, secure, and maintainable backend architectures for various applications.
• Spearheaded creation of 27+ custom modules in ████ and implemented a fully automated diagnostics system, boosting decision-making.
• Skilled in REST API, Git, and AWS Lambda for designing comprehensive, scalable solutions, with specialized expertise in healthcare focused projects.
• I led the full backend development lifecycle, ensuring seamless integration with frontend requirements and aligning with the CTO’ s vision

Keywords: Postgres Sql, Rest API, Git, Python

Well I resigned from ███████████ on December 2024 and right now I am doing the Google Cybersecurity Professional Certificate and preparing for the CompTIA Security+ hoping to start my career in cybersecurity from may 2025 as a SOC Analyst L1 or L2. Wish me all the best of luck. ✌️

BTW I started writing this blog to document what I learnt, the path I take to start my career in cyber security and share any resources, researches or information I find. So stay tuned …

To get in touch with me or for general discussion please visit ZeroDayMindset Discussion