Jan 2025 – Present · 1 yr 5 mos · Los Angeles, California, United States · Remote

• Engineered over 75 scalable AI microservice web apps and chatbots, driving engagement to 200K+ daily active users in just 12 months.
• Led a high-performing team of 40 developers and data scientists, overseeing the full SDLC—from architecture design to deployment—while ensuring alignment with stakeholder objectives. Delivered 10+ cross-domain products, facilitating collaboration across front-end, back-end, and AI teams, consistently meeting tight deadlines. Achieved a 150% increase in user engagement and maintained 98% uptime, solidifying our position as a leader in AI-driven innovation.

Apr 2024 – Feb 2025 · 10 mos · Los Angeles, California, United States · Remote

• 🏆 Milestone Achievement: Recognized as a high performer by our CEO, Bhaskarpillai Gopinath, for driving excellence in AI-powered solutions at a company-wide town hall. This recognition reflects my commitment to innovation, teamwork, and continuous growth in a fast-paced tech environment.

Aug 2023 – Apr 2024 · 8 mos · Los Angeles, California, United States · Remote

• 🏆 Milestone Achievement: Recognized as a high performer by our CEO, Bhaskarpillai Gopinath, for driving excellence in AI-powered solutions at a company-wide town hall. This recognition reflects my commitment to innovation, teamwork, and continuous growth in a fast-paced tech environment.

Mar 2024 – Present · 2 yrs 3 mos · Los Angeles, California, United States · Remote

Jul 2023 – Aug 2023 · 1 mo · Bengaluru, Karnataka, India · Remote

• 🞕 𝗥𝗼𝗹𝗲: Spearheaded research and development of advanced AI applications, implementing customizable Large Language Models (LLMs) such as LangChain, StarCoder, Flair, and Llama2, along with integrating OpenAI's Azure API and AWS across multiple projects.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗦𝗲𝗰𝘂𝗿𝗲𝗕𝗹𝗮𝗻𝗸: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 𝗗𝗲-𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝗿 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗥𝗲𝗱𝗮𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆
• ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘙𝘦𝘥𝘢𝘤𝘵𝘪𝘰𝘯 𝘈𝘤𝘤𝘶𝘳𝘢𝘤𝘺: Enhanced redaction accuracy by 47%, processing over 5,000 documents daily.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘦𝘱𝘭𝘰𝘺𝘮𝘦𝘯𝘵 𝘌𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: Reduced deployment time by 40% through Docker containerization and deployment on GCP Cloud Run via Vertex AI Workbench.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘜𝘐/𝘜𝘟 𝘋𝘦𝘴𝘪𝘨𝘯: Improved user experience and data security with a designed intuitive UI/UX.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‣ 𝘕𝘓𝘗/𝘕𝘓𝘜 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯: Integrated advanced NLP and NLU to boost data interpretation.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‣ 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘮𝘦𝘯𝘵: Implemented stringent security measures for data protection.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗦𝗲𝘀𝘀𝗶𝗼𝗻𝗦𝗮𝗴𝗲: 𝗠𝗲𝗲𝘁𝗶𝗻𝗴 𝗔𝗜 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗔𝗽𝗽 𝗳𝗼𝗿 𝗔𝗴𝗲𝗻𝗱𝗮, 𝗠𝗶𝗻𝘂𝘁𝗲𝘀, 𝗮𝗻𝗱 𝗔𝗰𝘁𝗶𝗼𝗻 𝗜𝘁𝗲𝗺𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻
• ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘰𝘤𝘶𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 𝘈𝘐 𝘈𝘤𝘤𝘶𝘳𝘢𝘤𝘺: Achieved 96% accuracy in generating meeting documents from transcripts.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘗𝘳𝘰𝘤𝘦𝘴𝘴𝘪𝘯𝘨 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘮𝘦𝘯𝘵: Increased token processing capacity from 3,000 to 14,000 per request.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘊𝘭𝘰𝘶𝘥 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯: Seamlessly integrated with multiple cloud services for scalable deployment.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘜𝘴𝘦𝘳 𝘌𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦: Developed user-friendly interfaces that simplify meeting management.

Dec 2022 – Aug 2023 · 8 mos · Bengaluru, Karnataka, India · Remote

• 🞕 𝗥𝗼𝗹𝗲: Led the development of data-driven solutions as an SDE (Data Scientist) and Computer Vision Engineer, integrating machine learning and computer vision techniques to optimize customer engagement, improve sales, and enhance production efficiency at Oniric Apparels.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝗖𝗮𝘁𝗮𝗹𝘆𝘀𝘁: 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗿𝗸𝗲𝘁 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻
• ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘚𝘦𝘨𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 𝘈𝘤𝘤𝘶𝘳𝘢𝘤𝘺: 30% 𝘣𝘦𝘵𝘵𝘦𝘳 𝘴𝘦𝘨𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯, 𝘣𝘰𝘰𝘴𝘵𝘪𝘯𝘨 𝘦𝘯𝘨𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘣𝘺 20%.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘚𝘢𝘭𝘦𝘴 𝘎𝘳𝘰𝘸𝘵𝘩: 15% 𝘴𝘢𝘭𝘦𝘴 𝘪𝘯𝘤𝘳𝘦𝘢𝘴𝘦 𝘷𝘪𝘢 𝘵𝘢𝘳𝘨𝘦𝘵𝘦𝘥 𝘮𝘢𝘳𝘬𝘦𝘵𝘪𝘯𝘨.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘰𝘥𝘦𝘭 𝘌𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: 25% 𝘧𝘢𝘴𝘵𝘦𝘳 𝘔𝘓 𝘮𝘰𝘥𝘦𝘭 𝘱𝘳𝘰𝘤𝘦𝘴𝘴𝘪𝘯𝘨.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗢𝗽𝘁𝗶𝗖𝗵𝗲𝗰𝗸 𝗩𝗶𝘀𝗶𝗼𝗻𝗔𝗜: 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗦𝗺𝗮𝗿𝘁 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗜𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲
• ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘦𝘧𝘦𝘤𝘵 𝘋𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘈𝘤𝘤𝘶𝘳𝘢𝘤𝘺: 95% 𝘥𝘦𝘧𝘦𝘤𝘵 𝘥𝘦𝘵𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘤𝘤𝘶𝘳𝘢𝘤𝘺 𝘸𝘪𝘵𝘩 𝘊𝘕𝘕.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘐𝘯𝘴𝘱𝘦𝘤𝘵𝘪𝘰𝘯 𝘌𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: 70% 𝘳𝘦𝘥𝘶𝘤𝘵𝘪𝘰𝘯 𝘪𝘯 𝘮𝘢𝘯𝘶𝘢𝘭 𝘪𝘯𝘴𝘱𝘦𝘤𝘵𝘪𝘰𝘯𝘴.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘚𝘺𝘴𝘵𝘦𝘮 𝘚𝘤𝘢𝘭𝘢𝘣𝘪𝘭𝘪𝘵𝘺: 𝘚𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯 𝘧𝘰𝘳 𝘤𝘰𝘯𝘴𝘪𝘴𝘵𝘦𝘯𝘵 𝘲𝘶𝘢𝘭𝘪𝘵𝘺 𝘤𝘰𝘯𝘵𝘳𝘰𝘭.

Oct 2022 – Oct 2022 · 0 mo

Sep 2021 – Mar 2022 · 6 mos · Hyderabad, Telangana, India

• 🞕 𝗥𝗼𝗹𝗲: Served as a key AI developer & researcher at Blaize, leading initiatives to create industry's 1st open & code-free AI software platform for full End-to-End Edge AI life cycle.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗕𝗹𝗮𝗶𝘇𝗲 𝗔𝗜 𝗦𝘁𝘂𝗱𝗶𝗼: 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆'𝘀 𝟭𝘀𝘁 𝗳𝘂𝗹𝗹 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗘𝗱𝗴𝗲 𝗔𝗜 𝗹𝗶𝗳𝗲 𝗰𝘆𝗰𝗹𝗲 𝗼𝗽𝗲𝗻 & 𝗰𝗼𝗱𝗲-𝗳𝗿𝗲𝗲 𝗔𝗜 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺
• ‎ ‎ ‎ ‎ ● 𝗜𝗺𝗮𝗴𝗲 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁:
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘋𝘦𝘴𝘪𝘨𝘯𝘦𝘥 𝘈𝘗𝘐: Built a custom, efficient Image Augmentation Library API using Flask-restful.
• ‎ ‎ ‎ ‎ ‎‎ ‎ ‎‎ ‎‎‣ 𝘊𝘰𝘴𝘵 𝘙𝘦𝘥𝘶𝘤𝘵𝘪𝘰𝘯: Focused on low computational cost to enhance system efficiency.
• ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎ ‎‎‣ 𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘖𝘱𝘵𝘪𝘮𝘪𝘻𝘢𝘵𝘪𝘰𝘯: Enhanced processing speeds for better performance.
• ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‎ ‣ 𝘛𝘦𝘴𝘵𝘪𝘯𝘨 & 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯 : Rigorously unit tested & integrated the API into AI Studio, enhancing functionality.
• ‎ ‎ ‎ ‎ ● 𝗚𝗲𝘀𝘁𝘂𝗿𝗲 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹:
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘰𝘥𝘦𝘭 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵: Created Adv. Gesture Recognition model with GRU, LSTM, & Transfer Learning.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘖𝘱𝘵𝘪𝘮𝘪𝘻𝘢𝘵𝘪𝘰𝘯 𝘧𝘰𝘳 𝘙𝘦𝘢𝘭-𝘛𝘪𝘮𝘦: Optimized for 30 FPS video input, recognizing five distinct gestures.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎ ‎‎‣ 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘥 𝘜𝘴𝘦𝘳 𝘊𝘰𝘯𝘵𝘳𝘰𝘭: Enabled gesture-based laptop control, removing the need for physical peripherals.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‎ ‣ 𝘜𝘐 𝘐𝘮𝘱𝘳𝘰𝘷𝘦𝘮𝘦𝘯𝘵: Boosted accessibility and user interaction, enhancing overall usability.
• ‎ ‎ ‎ ‎ ● 𝗗𝗮𝘁𝗮 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻:
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢𝘴𝘦𝘵 𝘛𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯: Converted existing datasets to COCO format for enhanced compatibility.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘦𝘵𝘢𝘥𝘢𝘵𝘢 𝘌𝘯𝘩𝘢𝘯𝘤𝘦𝘮𝘦𝘯𝘵: Generated metadata to enhance dataset utility and ML integration.

Jul 2020 – Jul 2022 · 2 yrs · India

• 🞕 𝗠𝗧𝗲𝗰𝗵 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗧𝗼𝗽𝗽𝗲𝗿)
• 🞕 𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝟳 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗽𝗮𝗽𝗲𝗿𝘀 𝗶𝗻 𝗦𝗰𝗼𝗽𝘂𝘀-𝗶𝗻𝗱𝗲𝘅𝗲𝗱 𝗷𝗼𝘂𝗿𝗻𝗮𝗹𝘀
• ‎ ‎ ‎ ● 𝙄𝙅𝙍𝘼𝙍: “Augmented Balanced Image Dataset Generator Using Augstatic Library”
• ‎‎ ‎ ‎ ‎ ● 𝙅𝙀𝙏𝙄𝙍: “AugStatic - A Light-Weight Image Augmentation Library”
• ‎ ‎ ‎ ● 𝙄𝙅𝙍𝙀𝘼𝙈: “Deep PCB to coco convertor”
• ‎ ‎ ‎ ● 𝙄𝙅𝙀𝙍𝙏: “Detectron2 Object Detection & Manipulating Images using Cartoonization”
• ‎ ‎ ‎ ● 𝙄𝙅𝘾𝙍𝙏: “Resnet18 Model with Sequential Layer for Computing Accuracy on Image Classification Dataset”
• ‎ ‎ ‎ ● 𝙄𝙅𝘼𝙍𝙀𝙏: “Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation”
• ‎ ‎ ‎ ● 𝙄𝙅𝙄𝙍𝙏: “Augmentation Techniques Analysis with the removal of Class Imbalance using PyTorch for Intel Scene Dataset”

Jun 2020 – Jul 2020 · 1 mo · Bangalore Urban, Karnataka, India · Remote

• 🞕 𝗥𝗼𝗹𝗲: Engaged in advanced analytical modeling and AI-driven application development, focusing on predictive modeling for customer retention and medical diagnostic enhancements.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗖𝗵𝘂𝗿𝗻 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗧𝗲𝗹𝗲𝗰𝗼𝗺 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻
• ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
• ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴: Analyzed customer-level data from a leading telecom firm.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘰𝘥𝘦𝘭 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵: Built precision predictive models for churn risk identification.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘐𝘯𝘥𝘪𝘤𝘢𝘵𝘰𝘳 𝘐𝘥𝘦𝘯𝘵𝘪𝘧𝘪𝘤𝘢𝘵𝘪𝘰𝘯: Identified critical indicators contributing to customer churn.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘙𝘪𝘴𝘬 𝘚𝘦𝘨𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯: Segregated high-risk customers effectively.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘐𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯: Enabled proactive customer retention strategies.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗠𝗲𝗹𝗮𝗻𝗼𝗺𝗮 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗔𝗽𝗽: 𝗘𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗗𝗲𝗿𝗺𝗮𝘁𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜
• ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘔𝘰𝘥𝘦𝘭 𝘊𝘳𝘦𝘢𝘵𝘪𝘰𝘯: Developed a custom CNN model achieving a 91.75% accuracy rate.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘙𝘦𝘢𝘭-𝘵𝘪𝘮𝘦 𝘗𝘳𝘰𝘤𝘦𝘴𝘴𝘪𝘯𝘨: Optimized the model to evaluate images at 30 fps.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘪𝘢𝘨𝘯𝘰𝘴𝘵𝘪𝘤 𝘌𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: Reduced manual effort needed in melanoma diagnosis.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘈𝘗𝘐 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯: Seamlessly integrated the model into an API for use by dermatologists.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘜𝘴𝘦𝘳 𝘐𝘮𝘱𝘢𝘤𝘵: Enhanced diagnostic workflows and improved early melanoma detection rates.

Jun 2019 – Jun 2019 · 0 mo · Greater Visakhapatnam Area

May 2019 – Jul 2019 · 2 mos · Greater Visakhapatnam Area

• I have enrolled for Core java, Advance java and python for Data Science & Exploration certifications & participated and won 1st prizes in hackathons on a website created based on the front-end development on 06 June 2019.
• ==>And the GitHub link is-
• https://github.com/avs-abhishek123/MyWebsite-Frontend

Jun 2019 – Jan 2020 · 7 mos · Noida, Uttar Pradesh, India

• 🞕 𝗥𝗼𝗹𝗲: Engaged in a virtual task-based internship focusing on Data Science and Web Development at Softclique Technologies Pvt. Ltd., in partnership with Yeag Technologies and Refer Hiring. Gained hands-on experience in Python programming for data science and Java-based web development integrating SQL and data analytics.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗨𝘁𝗶𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴
• ‎ ‎ ‎‎ ‎ ● 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘗𝘳𝘰𝘨𝘳𝘢𝘮𝘮𝘪𝘯𝘨: Leveraged Python to built & implemented data models
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘚𝘬𝘪𝘭𝘭𝘴: Applied statistical techniques and ML algorithms to extract & interpret data insights.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘗𝘳𝘰𝘣𝘭𝘦𝘮-𝘚𝘰𝘭𝘷𝘪𝘯𝘨: Solved complex data-related problems to boost data-driven decision-making.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗝𝗮𝘃𝗮-𝗯𝗮𝘀𝗲𝗱 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗦𝗤𝗟 & 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀
• ‎ ‎ ‎ ‎ ● 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄:
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵: Developed a Java-based web application incorporating SQL for database management.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘰𝘯: Integrated data analytics to improve the functionality & UX of the web application.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎ ‎‎‣ 𝘐𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯: Employed adv. SQL queries & Java to enhance the backend data processing capabilities.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‎ ‣ 𝘜𝘴𝘦𝘳 𝘐𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘦 𝘋𝘦𝘴𝘪𝘨𝘯: Created an intuitive UI that simplifies complex data interactions for users.

Jun 2019 – Sep 2019 · 3 mos · Greater Delhi Area

• 🞕 𝗥𝗼𝗹𝗲: As a key member of the Data Analytics Cell for a national political party, utilized advanced data extraction and analysis techniques to enhance marketing campaign strategies and decision-making processes.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗣𝗼𝗹𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀:
• ‎ ‎ ‎ ‎ ● 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀:
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘛𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘗𝘳𝘰𝘧𝘪𝘤𝘪𝘦𝘯𝘤𝘺: Leveraged Python, Numpy & Matplotlib for efficient data extraction & analysis.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘏𝘢𝘯𝘥𝘭𝘪𝘯𝘨: Streamlined the data handling process, ensuring accurate and timely analyses.
• ‎ ‎ ‎ ‎ ● 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁:
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘈𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘢𝘭 𝘗𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦 𝘉𝘰𝘰𝘴𝘵: Boosted campaign success rates by 18% using targeted big data analytics.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘚𝘵𝘳𝘢𝘵𝘦𝘨𝘪𝘤 𝘐𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘌𝘹𝘵𝘳𝘢𝘤𝘵𝘪𝘰𝘯: Identified crucial audience factors through statistical analysis.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘗𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯: Presented complex data in accessible formats, utilizing Python for clear, impactful data presentation in graphs and charts, facilitating clear and effective communication to stakeholders.

Jun 2019 – Jul 2019 · 1 mo · Greater Hyderabad Area

• 🞕 𝗥𝗼𝗹𝗲: Played a key role in enhancing machine learning capabilities for HPE’s AI studio platform, focusing on advanced model development and deployment for object detection and image classification.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗺𝗲𝗻𝘁:
• ‎ ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Model Innovation: Created a custom NN model, significantly enhancing object detection accuracy.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Accuracy Improvement: Improved model accuracy by 10% over traditional CNN & ResNet18 models.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Dataset Optimization: Optimized the model across multiple datasets, enhancing detection accuracy.
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Detection Capabilities: Enhanced the model's ability to detect objects more effectively.
• ⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺⸺
• 🞕 𝗠𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗳𝗼𝗿 𝗜𝗺𝗮𝗴𝗲 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻:
• ‎ ‎ ‎ ● 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀:
• ‎ ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Pipeline Development: Deployed an efficient machine learning pipeline for image classification.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Explainable AI: Integrated Explainable AI to render insights from image classification interpretable.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Decision Support: Boosted decision-making with clear, actionable AI-derived insights.
• ‎ ‎ ‎ ‎ ‎ ‎‎ ‎‎‣ Operational Efficiency: Improved speed & accuracy in image analysis & classification, enhancing efficiency.

May 2019 – Jun 2019 · 1 mo · Greater Visakhapatnam Area · On-site

• 🞕 𝗔𝗜 𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗦𝘁𝗲𝗲𝗹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗳𝗶𝘁 𝗠𝗮𝗿𝗴𝗶𝗻 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁
• ‎ ‎ ‎ ● 𝗠𝗟 𝗯𝗮𝘀𝗲𝗱 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀:
• ‎ ‎ ‎‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘋𝘢𝘵𝘢 𝘜𝘵𝘪𝘭𝘪𝘻𝘢𝘵𝘪𝘰𝘯: Leveraged 2 years of steel production & revenue data for in-depth analysis.
• ‎ ‎ ‎ ‎‎ ‎‎ ‎‎ ‎‎‣ 𝘈𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯: Employed advanced ML algorithms to predict & enhanced profit margins.
• ‎ ‎ ‎ ‎ ‎‎‎ ‎‎ ‎‎‣ 𝘒𝘦𝘺 𝘐𝘯𝘴𝘪𝘨𝘩𝘵𝘴: Identified crucial levers for boosting profitability through detailed data analytics.
• ‎ ‎ ● 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘃𝗶𝗮 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁:
• ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘞𝘦𝘣𝘴𝘪𝘵𝘦 𝘊𝘳𝘦𝘢𝘵𝘪𝘰𝘯: Developed a website dedicated to showcasing the findings from the analysis.
• ‎ ‎ ‎ ‎ ‎‎ ‎‎ ‎‎‣ 𝘌𝘧𝘧𝘦𝘤𝘵𝘪𝘷𝘦 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯: Improved UI/UX to clearly communicate analytical insights & actionable recommendations to stakeholders.

Apr 2019 – Jun 2019 · 2 mos · Andhra Pradesh, India

• Wroked for few YouTube Channels in Content creation & Social Media Marketing

May 2018 – Jul 2018 · 2 mos · Andhra Pradesh, India

• Successfully created an efficient Static website that was a clone of Facebook & Efficiently developed object detection deep learning-based model using YOLO v2.
• Worked on a front end web development project using static data and making the pages dynamic.

May 2017 – Jul 2017 · 2 mos · Greater Hyderabad Area

• 1. Successfully developed a Credit card fraud Detection application by using various Clustering & Machine Learning concepts.