Headline

TPM@AdityaBirlaCapital | Ex-Project Intern @IBM | COEP CS 25

About

I am a highly driven professional with a voracious appetite for information and a passion for building technology that solves real-world problems. I recently completed my Bachelor of Technology in Computer Engineering at the College of Engineering Pune (COEP), where I maintained a 6.84 GPA and mastered the fundamentals of Data Structures, Operating Systems, and Database Management Systems. My academic journey has been fueled by a desire to understand the "how" behind complex systems, and I have complemented my studies with certifications in AWS, FinTech, and Prompt Engineering to stay at the forefront of industry trends. Currently, I serve as a Technical Product Manager at Aditya Birla Capital, where I act as a "safe pair of hands" by bridging the gap between business strategy and engineering execution. In this role, I built and launched an IFSC-based API that impacted over 20,000 distributors and led the end-to-end implementation of a Rewards & Recognition platform for 8,000 users. My technical background is rooted in hands-on development; I previously built "Krishi Vardhini," a GenAI-based agricultural platform that achieved 94.4% classification accuracy for plant diseases. Whether I am writing PRDs, managing vendor relationships, or deploying RAG pipelines using Python, AWS Lambda, and Kafka, my focus remains on delivering technical credibility and measurable business impact. My career goal is to lead the development of innovative products at the intersection of AI and FinTech. I am committed to translating complex technical capabilities into scalable, user-centric solutions that drive growth. I thrive in collaborative environments where I can leverage my skills in product ownership, data analytics, and full-stack development to help organizations navigate digital transformations and deliver high-value outcomes. I am always eager to connect with fellow product enthusiasts, engineers, or anyone passionate about the future of tech. You can reach me directly via email at kameya061@gmail.com or explore my latest technical projects on GitHub at github.com/Ameya0930.

Location

Pune Division

AI stack

antigravity

claude code

claude

codex

cursor

deepseek

gemini

github copilot

lovable

meta

midjourney

n8n

notebooklm

notion

openai

perplexity

replit

Work experience

Technical Product Manager at Aditya Birla Capital, Jul 2025 - Present · 1 yr 1 mo, Thane, As a Technical Product Manager, I serve as a "safe pair of hands" by bridging the gap between business strategy and engineering execution to deliver scalable financial products. Top 5 Skills: - Software Product Management - API Development & Design - Vendor & Stakeholder Management - User Acceptance Testing (UAT) -Technical Documentation (PRDs/Functional Specs) . My role involves full-cycle product ownership, from translating business needs into Functional Specifications and PRDs to managing technical dependencies and vendor SLAs Key Accomplishments & Impact: - DSA Onboarding Journey: Successfully delivered the DSA onboarding journey in November 2025, facilitating the "sunset" of legacy systems - This initiative has generated 130+ DSA codes to date, including a significant 2100% increase in code generation during the first full month of launch - IFSC API Launch: Designed and launched an IFSC-based lookup API that provides branch names, locations, and pincode details; this streamlined downstream distributor workflows and impacted 20,000+ distributors -System Stability & Support: Maintain high platform reliability by resolving 600+ JIRA tickets and 200+ Freshdesk tickets, ensuring timely issue resolution and consistent system performance. - Multi-Channel Communication: Implemented 16 Email and 12 WhatsApp templates across business units (ABHFL, ABSLI, and SalesPramaan) to enhance user engagement. - I also optimized communication delivery by converting marketing messages to utility messages to bypass delivery limits. - Regulatory & Security Compliance: Executed end-to-end CDMS activities for 194R documents, including metadata creation and production deployment - Collaborated with vendors to implement APIs aligned with SSO requirements for secure ABCL onboarding - Operational Excellence: Created comprehensive technical documentation, including implementation notes and release guides, which significantly reduced enablement time for internal teams and partners

Project Intern at IBM, Sep 2024 - Dec 2024 · 4 mos, Pune District, - Developed "Krishi Vardhini" in collaboration with IBM, leveraging IBM watsonx.ai to build a web-based precision agriculture platform enabling automated GenAI analysis of crop health - Engineered a two-stage computer vision pipeline using YOLO11m for detection and an InceptionV3 classifier, achieving 94.4% accuracy in identifying diseases across a dataset of 15,000+ annotated images - Architected a RAG (Retrieval-Augmented Generation) pipeline using LLaMA-3-70B and ChromaDB to process crop images and provide farmers with health scores and tailored remediation recommendations - Built and deployed a multilingual chatbot (Marathi and English) using a React Native and Flask/FastAPI stack, integrating the Google Translate API to deliver localized, actionable insights to regional farmers - Optimized model generalization for real-world field conditions by applying Mosaic augmentation, CutMix, and ImageNet transfer learning, ensuring reliable performance for precision agriculture and improved yield outcomes

Intern at Wipro, May 2024 - Aug 2024 · 4 mos, Pune District, Top 5 Skills: - Data Analytics & Forecasting - Machine Learning (Random Forest) - Python - Feature Engineering - Git for Version Control Description: During my tenure at Wipro, I focused on building predictive models to support strategic business planning. I was responsible for the end-to-end development of a forecasting pipeline, from raw data preprocessing to model training and evaluation, ensuring the output directly supported profitability goals . Key Accomplishments & Impact: - Built a sales growth forecasting model for deodorant products using Random Forest Regression, providing a data-driven foundation for strategic profitability prediction and stock planning. - Enhanced model accuracy and relevance by performing sophisticated feature engineering to incorporate external commodity drivers, such as aluminium prices, reflecting real-world market impacts on pricing and demand. - Developed an end-to-end ML pipeline in Python that automated the extraction of business signals, transforming raw datasets into analysis-ready features for executive decision-making. - Managed iterative model experimentation and team collaboration using Git for version control, ensuring all model changes were reproducible and maintaining a high standard of code integrity across the 3-month project. - Visualized complex sales trends and model performance metrics to communicate data insights clearly to stakeholders, bridging the gap between technical execution and business planning

Education

Bachelor of Technology - BTech, Computer Engineering, COEP Technological University