Rahul Ramesh

Technical Program Manager

Gurugram, Haryana, India6 yrs 11 mos experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and Data Science.
  • Strong background in Supply Chain Optimization.
  • Proven track record in Credit Risk Management.
Stackforce AI infers this person is a Data Science and Machine Learning expert with a focus on Fintech and E-commerce.

Contact

Skills

Core Skills

Supply Chain OptimizationProgram ManagementCredit Risk ManagementRisk AnalysisMachine LearningEmbedded SystemsData ScienceNlp

Other Skills

Python (Programming Language)SQLPySparkMicrosoft ExcelPyTorchTensorFlowAltium DesignerPrinted Circuit Board (PCB) DesignBusiness AnalyticsData AnalysisArduinoC (Programming Language)C++Google ColabJupyter Notebooks

About

Experienced Member with a demonstrated history of working in the information technology and services industry. Skilled in Data Science, Machine Learning, Arduino, Business Analytics, and Data Analysis. Strong operations professional graduated from Indian Institute of Technology, Kharagpur.

Experience

6 yrs 11 mos
Total Experience
3 yrs
Average Tenure
10 mos
Current Experience

Blinkit

Technical Program Manager

Jul 2025Present · 10 mos · Gurugram · On-site

  • Supply chain tech at India’s largest quick commerce platform delivering goods in 10 minutes via distributed network
  • Owned end-to-end electronics supply chain operations—driving replenishment, inter-warehouse transfers, and SKU availability in close collaboration with category and business teams.
  • Managing seasonal supply chains for high-variance categories (coolers, fans, heaters), ensuring high service levels during demand spikes through proactive planning and forecasting, controlling the distribution network and transfer maths
Python (Programming Language)Supply Chain OptimizationProgram ManagementSQL

American express

2 roles

Risk & Info. Analyst

Jul 2023Jul 2025 · 2 yrs · Gurugram · Hybrid

  • Part of the US Customer Management Team, handling the Corporate RLA (Responsible Lending Actions) strategy
  • Working on strategies to modify credit lines for corporate clients based on their utilization and probable delinquencies
  • Periodic monitoring of rules, policies, and models, including user acceptance testing and post-implementation validation
  • Deriving variables and rules to be used in strategies-based case review findings to enhance and optimise the RLA process
Credit Risk ManagementRisk AnalysisPySparkSQLMicrosoft Excel

Data Science Intern

May 2022Jul 2022 · 2 mos

  • Used Experian US Bureau data to predict new accounts CBO (Credit Bust Out) risk in consumer and open portfolios
  • Augmented to mitigation strategies by identifying patterns on the post and pre-pandemic data, proposing variables
  • Performed extensive analysis of bureau profiles for CBO/non-CBO cases to realize risk-prone behaviour in an applicant
  • Ideated variables on the basis of case reviews to propose rule-based strategies, screening CBO likelihood of applications
Python (Programming Language)PySparkSQLData Science

Algozenith

Mentor

May 2022May 2023 · 1 yr · Nagpur, Maharashtra, India

  • Mentoring students throughout their journey of Learning Data Structures and Algorithms and aiding their preparation for Tech Interviews.

Adappt intelligence

Machine Learning Engineer

Jan 2022Jun 2023 · 1 yr 5 mos · Remote

  • Optimised seats required to accommodate employees at a workspace, using constraint programming Google OR-tools
  • Assigned weekly schedule, allocating onsite working days in hybrid mode abiding by seat and shift conflict constraints
  • Developed an automated cost-effective seat allocator for a given floor-plan, abiding by team and employee preferences
  • Used agglomerative clustering to spatially divide the floor plan,to allocate the employees of a team within a cluster
Python (Programming Language)PyTorchTensorFlowPySparkMachine Learning

Amazon

Student - Amazon ML Summer School

Jul 2021Jul 2021 · 0 mo

Unmazer.ai

Geospatial Data Science Intern

May 2021Jul 2021 · 2 mos · Bengaluru, Karnataka, India

  • Worked on hyperlocal intelligence module providing demographic insights for potential business locations in the city of Bangalore
  • Transformed population density data for Bangalore city from raster format to H3 hexagon bins using Uber's open source H3 library
  • Provided insights on population demographics such as male and female population count, total households for all the BBMP wards
  • Developed a site suitability analysis module based on infrastructural features to identify optimal locations for new business ventures
  • Formulated a score function transforming feature variables into single distribution to visualise suitability analysis results as a choropleth
Python (Programming Language)TensorFlowData Science

Dhiyo.ai

NLP Engineering Intern

Jul 2020Sep 2020 · 2 mos · Bengaluru, Karnataka, India

  • Implemented a python service that uses pytesseract wrapper for google's tesseract-OCR to read and detect texts from images optically
  • Created a Flask app that accepts Base64 encoded images as input, processed by the tesseract service and returns detected text
  • Built a multilingual contextual AI assistant using the rasa.ai framework to handle voice and text inputs and generate responses in regional languages
  • The assistant keeps improving through conversation driven development which utilises user feedbacks to rectify intent and responses
Python (Programming Language)TensorFlowNLP

Aerial robotics kharagpur

Embedded team member

Apr 2019May 2023 · 4 yrs 1 mo · Kharagpur,india

  • As part of the Centre for Excellence in Robotics, sponsored by SRIC, our research group is dedicated to advancing the field of aerial robotics and competing in international events such as the International Aerial Robotics Competition (IARC).
  • Collaborated under Prof. Somesh Kumar on a range of challenges related to autonomous drone navigation.
  • Developed and optimized communication-based protocols and a Battery Management System to enhance drone performance and reliability.
  • Designed the PCB layout for a Fully Printed Drone, utilizing Altium Designer and Eagle to analyze datasheets and ensure component integration.
  • Engineered an Active Power Distribution Board for the drone, enabling data logging of critical parameters including voltage, current, and battery temperature.
  • Led and managed the Embedded Systems Team, overseeing project development and providing mentorship to junior team members.
Altium DesignerEmbedded SystemsPrinted Circuit Board (PCB) Design

Education

Indian Institute of Technology, Kharagpur

Dual Degree (B.Tech + M.Tech) — Mechanical Engineering

Jul 2018May 2023