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Manish is a full stack developer and a GCP certified system architect. In past he has worked on building low latency FX Options auto trading system, analytics app/chat bot using Java, Reactjs, python and KDB+ for HSBC, financial product benchmarking and alerting application for UBS, B2C CRM product for Oracle. He is passionate about distributed system, love to take part in hackathons and play tennis.
I enjoy designing, building and deploying Machine Learning solutions as an end to end scalable products. ๐ฐ Iโve built AI/ML capabilities from the ground up in organizations of all sizes on two continents, from Fortune 250 companies to early age startups. ๐ฉ I'm a Mentor and Advisor to various early stage AI startups. ๐จโ๐ฌ Iโve spearheaded the development of high-performance, data-driven products across multiple industries, from real-time model training to AI agents powered by the latest advancements in Large Language Modes (LLMs). ๐ ๐๐๐ช ๐๐๐๐ ๐ง๐๐ฅ๐๐ ๐๐ค & ๐ธ๐๐๐๐๐ง๐๐๐๐๐ฅ๐ค: ๐๐ฒ๐ฎ๐๐๐ฟ๐ฒ ๐ฆ๐๐ผ๐ฟ๐ฒ ๐ฃ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ (Offline & Online) โ U.S. Patent Filed ๐๐ฎ๐๐ฎ ๐ค๐๐ฎ๐น๐ถ๐๐ ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด (DQM) โ U.S. Patent Filed ๐๐๐ ๐๐ถ๐ป๐ฒ-๐ง๐๐ป๐ถ๐ป๐ด for Text Generation โ U.S. Patent Filed Gen๐๐ ๐๐ด๐ฒ๐ป๐๐, RAG, Vector DBs, Prompt Flows, LLMs, Function Calling ๐ก๐ฒ๐ฎ๐ฟ ๐ฅ๐ฒ๐ฎ๐น-๐ง๐ถ๐บ๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น ๐ง๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด & ๐๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ Architecting ๐น๐ผ๐-๐น๐ฎ๐๐ฒ๐ป๐ฐ๐, ๐๐ฐ๐ฎ๐น๐ฎ๐ฏ๐น๐ฒ ๐ ๐๐ข๐ฝ๐ ๐ฝ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ๐ with millisec performance Trained numerous high-performance ML models across domains ๐๐๐๐๐๐๐๐๐ ๐ผ๐ฉ๐ก๐๐ฃ๐ฅ๐๐ค๐ & ๐๐ ๐ ๐๐ค ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐ ๐ผ๐ฑ๐ฒ๐น๐ โ Claude 3.5 Sonnet, Llama 3, GPT-4, Titan Text Embeddings v2 ๐๐ ๐ณ๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ๐ โ Azure AI Studio, Amazon Bedrock, LangChain, LangSmith, Llama Index, Hugging Face ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป โ Python, CI/CD, AWS CDK, Serverless, API, Shell Scripting, JSON, YML ๐๐ถ๐ด ๐๐ฎ๐๐ฎ โ Apache Spark, Hadoop, Airflow, Redshift, Oracle, Snowflake, Databricks ๐๐ช๐ฆ โ EMR, Sagemaker, Glue, DynamoDB, Aurora, Lambda, API Gateway, EC2, Fargate, ECS, ECR, Cloud Formation, Step Function, Events, Athena, S3, ALB ๐๐๐ฃ โ BigQuery, Cloud Functions, Google Vertex Platform, DataProc, Cloud Run ๐๐๐ - Streamlit, Flask, HTML, CSS, JavaScript ๐๐๐๐๐๐๐ ๐๐๐๐ฃ๐๐๐๐ ๐ป๐ ๐๐๐๐: ~ User Personalization (Recommendation/Matching) ~ Pricing ~ Chatbots (GenAI LLM Agents) ~ Customer CLTV, Retention & Segmentation ~ Fraud Detection (Anomoly) ~ Advanced Analytics
I am a backend engineer who has extensive and comprehensive experience with data warehousing, SQL and NOSQL databases, AWS and Google Dataproc cloud services. I have written a lot of ETL workflows, utilized Apache Spark framework for processing and persisting data in relational databases like Hive, Postgres, and also document stores like MongoDB and key-value stores like Hbase. I also have experience with devOps, working with Jenkins scripts. I am proficient in Java, Scala, Python.
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