Adithya B M

Data Engineer

Bengaluru, Karnataka, India4 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built 40+ data pipelines, reducing manual effort by ~95%
Achieved All India Rank #9 in ML Challenge 2021
Developed high-performance ETL tool, processing 4M+ records in under 8 mins

Stackforce AI infers this person is a Data Engineer with expertise in AI and Fintech solutions.

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Skills

Core Skills

Data EngineeringPythonArtificial IntelligenceComputer Vision

Other Skills

3jsAmazon EC2Amazon RedshiftAmazon Web Services (AWS)Apache AirflowApache SparkArtificial Intelligence (AI)AutomationBigQueryBlpapiData IngestionData MigrationData ParallelizationData PipelinesData Science

About

Deeply invested in and implemented several AI projects, including my recent work on Edge AI on Esp32, as well as Proprietary Gait Analysis Models and Analytics R&D at Hestia Assistive Ecosystems Pvt. Ltd. Developed NLP Text Analysis models, Computer Vision AI applications from scratch. I have in depth knowledge of Cloud Architecture and Scalability of Solutions. Experience with Big Data Frameworks such as Hadoop, Spark, Hive, Kafka, etc. And have worked with Pyspark extensively. Profecient in Python, NODE.js, REST API’s, Linux, Continuous Deployment and Competitive Coding. All India Rank #9 in FutureSkillsPrime Hackfest ML Challenge 2021 organized by GoI’s MEITY and NASSCOM.

Experience

4 yrs 11 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 2 mos

Current Experience

Origins ai: helping you build and scale

Data Engineer

Apr 2024 – Present · 2 yrs 2 mos · Bengaluru, Karnataka, India · Remote

Software Consulting for a US Hedge Fund Firm
Built 40+ Data Pipelines for Data Ingestion, EOD Financial Data Jobs, reducing manual effort by ~95%
Data Ingested:
Financial Statements (Perf. Reports, Capital Statements, Audit Reports)
EOD Data (Price, Volatility, Risk, Stress, Exposure, Performance Metrics)
Sources: Emails, PDFs, CSVs, APIs, Websites, SFTP
Key Impacts:
Enabled 100% timely fund reporting, saving ~140 analyst hours/month
Improved data accuracy by 95% through DAG-level data validations
Benchmarks ingestion enhanced cross-fund comparison & fund manager insights
Automated alerts via Slack ensuring transparency and quick alerting to business.
Set up External DAG Dependencies - Improved workflow reliability by 40%
Airflow DAG Triggering using Airflow REST API - Enabled dynamic dags execution from dashboards and alerts, cutting turnaround time for ad-hoc jobs by 60%
Automated Fund Report Publishing to Investors - Reduced report generation effort by ~70%, minimal human intervention, approval based workflow
Migration from Blpapi to Ibapi for Price, Volatility Data - Cut data licensing costs by 50% and enhanced real-time market data reliability
Airflow Scheduler Health Monitoring using cronjobs - Achieved proactive issue detection, reducing pipeline failure detection time by ~99%
Infra & Tools:
Apache Airflow, BigQuery, MySQL, SQLAlchemy, Python, GCS, Django, React, Blpapi (Bloomberg), Ibapi (IBKR)

Apache AirflowBigQueryMySQLSQLAlchemyPythonGCS+5

Nokia

Engineer Intern

Sep 2023 – Apr 2024 · 7 mos · Bengaluru, Karnataka, India · On-site

Key Impacts:
Accelerated Data Migration for 4M+ subscribers of a Hungarian NSP, enabling seamless vendor switch to Nokia's backend with 99.99% uptime and zero data loss
Built a high-performance ETL migration tool in Python, achieving 10x speed over legacy Perl tool using Multi Processing, Data Parallelization, Message Queues, Async Calls, Backup, Recovery, Pre-Compiling; Processed 4M+ records from multiple tables in under 8 mins
Optimized legacy system with 3x performance gain via multiprocessing and data parallelization, reducing processing time and compute costs
Developed FastAPI-based asynchronous APIs for real-time, on-demand subscriber migration; integrated with legacy systems via RabbitMQ, reducing revenue loss by 97% during live migration

PythonFastAPIRabbitMQData MigrationETLData Engineering

Hestia

Artificial Intelligence Developer

Dec 2021 – May 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India

Interactive Room Project:
Implemented Image Processing using OpenCV, Hand Detection using MediaPipe on 3 Real-Time Video Captures simultaneously to Extrapolate 3D Hand Position and perform Gesture Detection using Tensorflow.
Implemented Websockets to send Real-Time Video Input Data to HTML, CSS, Javascript Frontend, Flask App as Backend.
Ultrasound Sim for IVF Project:
Implemented 3js WebGL and Image Stitching using Speeded Up Robust Feature (SURF) model to simulate realistic IVF Procedures.
Projected the Stitched Images over a 3D model to ensure maximum accuracy to map the Ultrasound Simulator Probe movements to Real Life Procedures.
Built an Ultrasound Imaging Simulator geared towards IVF Professionals and Doctors' training.
Gait Analysis Project: [Current]
Calibrated cameras and determined intrinsic focal length and distortion coefficients and extrinsic position and orientations.
Implemented Pose Estimation to obtain 2D Keypoints from Multiple Cameras.
Triangulating the 3D position of Keypoints using Nonlinear Least Squares (NLS) method using Camera Matrices and 2D Keypoints.

OpenCVTensorFlow3jsWebSocketsArtificial IntelligenceComputer Vision

Amura ai&ml student club rnsit

Club Lead

Jun 2021 – Mar 2024 · 2 yrs 9 mos · Bengaluru, Karnataka, India

Organized AI Hack’22, RNS Institute of Technology’s first ever National Level Hackathon with 50+ Teams of 2-4 members from across 6 States participating in the 24 hour hackathon.
The Problem Statement was Computer Vision based and comprised of multiple rounds of Mentor Interaction and Team Eliminations.